fault diagnosis

So the fault diagnosis of turbogenerators is an important question of the application of the fault diagnosis technic.

Hydraulic pump is the heart of the hydraulic system and its hydraulic system fault diagnosis is an important part of fault diagnosis.

With the study of a great deal of literatures, the methods and theory of rotating machinery fault diagnosis were reviewed orderly.

Conventionally the manual service is often required for fault diagnosis of network links with improper accuracy brought in.

Fault diagnosis and error detection results are used to perform the system reconfiguration when some subsystems being out of order.

Failure mechanism of vibration signal analysis is the mechanical fault diagnosis technology used in one of the main method.

The experimental results show that this fault diagnosis method can correctly detect the fault phenomena of analog circuits.

Up to now, the most published fault diagnosis approaches of broken rotor bar are usually based stator current signal spectrum analysis.

The fault diagnosis result shows that this fault diagnosis system has strong ability of robust and generalization.

Fault Diagnosis of every subsystem is very important to the reliability of the whole system whether in developing phase or in testing phase.

The application result indicates that this remote fault diagnosis system is effective.

Use make known Fault Tree Analysis is an effective means of airborne weaponry fire control system Fault diagnosis test instrument.

The BP algorithm is improved to quicken the speed of convergence, and is applied to the fault diagnosis study of bridge.

Therefore aircraft fault diagnosis system electromagnetic interference study of great significance.

A chapter is designated to the fault diagnosis expert system pertaining to the principal software due to its complexity and importance.

Up to now, research as regarding to condition monitoring and fault diagnosis technique of marine engines has been paid widespread attention.

BP network provides a mechanism for adaptive pattern classification and may be used to do fault diagnosis on the air compressor.

The diagnosis result approves to be accurate and comprehensive . The method can be generalized to other devices fault diagnosis.

Experienced in operator management capable of giving constructive opinions on equipment operation, maintenance fault diagnosis.

Currently, the analytical technology of vibration signal is still the main method in monitor and fault diagnosis aspect of gear and bearing.

The bottom diagnosis network of mobile equipment is the key and basic part of long-range fault diagnosis system.

Its defect is the system modeling error or external disturbance to the results of the fault diagnosis will produce significant influence.

Moreover, considering the modeling uncertainty of the system, the robustness and sensitivity of fault diagnosis were analyzed.

Research on rotating machinery fault diagnosis is of great significance for avoiding catastrophic accidents and huge economic losses.

Efficient methods and measures of on-line autonomic fault diagnosis for equipment are not available up to now.

Intelligent diagnosis is to be one of the development trends of the modern equipment fault diagnosis technology.

The simulation verifies the feasibility of this fault diagnosis by the checkout with the output responses at different input excitation.

Therefore, the goal of this project is to build a diesel engine-testing, intelligent fault diagnosis of an integrated test bed.

In this paper we have done in-depth research in transformer data warehouse construction, transformer fault diagnosis and fault forecast.

Considering the characteristics of the system and the faults, Deep-seabed robot fault diagnosis system is studied and designed.

The condition monitoring and fault diagnosis is crucial in ensuring the long-term safe and stable operation of wind turbines.

Finally, it was applied in the fault diagnosis for aerocraft and the result of experiments is satisfactory.

Concept of the remote the remote fault diagnosis system is introduced.

The diagnosis results indicate the reliability. This method can be applied to hydraulic pump fault diagnosis.

Using this method can be based on signal spectral analysis method of fault diagnosis into a planar graph recognition.

The system combines the Virtue Instrument technology and realizes circuits testing and fault diagnosis basically.

The system has the characteristics of automatically, fault diagnosis, intelligent, miniaturized and portable.

At present, intelligent hybrid fault diagnosis system has been a research hotspot in the field of fault diagnosis.

Model experiment results show that the system can meet the requirements of on-line monitoring and fault diagnosis on site.

Electric motor noise is one of the most key parameters for its quality control and fault diagnosis.

For the motorcycle market situation and problems, we design and build a set of remote fault diagnosis system for motorcycle.

In a power simulation system, there are uncertainty and complexity between symptoms and reasons in the fault diagnosis of a transformer.

An artificial neural network based expert system has been developed and is applied to aircraft turbofan engine fault diagnosis.

The invention discloses a scan chain fault diagnosis system, a method and a diagnosis vector generating device.

Neural network system is applied to an expert system for the compressor fault diagnosis of vehicle's air conditioning.

Thus, for rolling bearing fault diagnosis technology research is of great significance.

In this paper, several time domain waveforms of vibration signal and its identification method in mechanical fault diagnosis are analysed.

See information at all levels of alarm, in accordance with the correct information and to deal with fault diagnosis.

This rolling element bearing model can be applied to fault feature extraction and fault diagnosis.

The extended states observer (ESO) of the active disturbance rejection controller is used for fault diagnosis.

Condition monitoring and fault diagnosis plays a very important role for the safe and economic operation of large turbogenerators.

Order analysis is one of the most important techniques of rotating machinery involving vibration signal processing and fault diagnosis.

After isolating faults, the declination of components performance can be determinate, so it goes deeply of gas path fault diagnosis.

Vibration measuring is the most common means of condition monitoring and fault diagnosis.

Objective: To provide mechanical equipment maintenance and fault diagnosis of the theoretical basis and reference methods.

The fault diagnosis methods were applied to UVs with the practical sea experiment, and results verify its validity and feasibility.

The method of it is to apply rough set and neural network to fault diagnosis of aluminium electrolysis.

base heater fault diagnosis model: (4) develop online analysis system of the operation state of each heater in steam unit.

It is pointed out that continuous wavelet transform is useful in weak signal detection which help itself to be used in fault diagnosis.

A low-frequency sine wave current source is widely used in fields of grounding grid fault diagnosis, communication, radar, etc.

Flux and pressure parameters which hold the state information of hydraulic system, are the foundation of fault diagnosis.

Order tracking is an important method for dynamic design, fault diagnosis and condition monitoring in rotating machinery.

Combining perfectly these two systems, the aircraft fault diagnosis system on electromagnetic interference is finally accomplished.

Therefore, cutting tool's fault diagnosis has become one of the most significant parts in the whole manufacturing process.

The alarm correlation analysis is an important approach of fault diagnosis, which plays a crucial role in network fault management.

Describes a method of using expert system tool CLIPS and VC to develop a real-time fault diagnosis expert system in power plant.

The system enhances the accuracy and efficiency of fault diagnosis of shearer and has a good applied prospect.

The results of its application show that the fault diagnosis expert system for diesel engine . . .

The algorithm is applicable to the diagnosis of the grinding machine fault diagnosis, and recognizes accurately the fault model.

CNC machine tool fault diagnosis system attractive interface, easy operation, failure to provide a different way of inquiry.

Practice indicates this model has good engineering applicability and creditability and can provide effective reference for fault diagnosis.

The main work of this paper is propulsive system fault diagnosis and fault tolerance of AUV.

This makes automotive engine to be the important object of fault diagnosis and detection.

Firstly, the basic theory of information fusion and the relation between information fusion and fault diagnosis are introduced briefly.

How to timely make an accurate fault diagnosis of shearer to improve the use rate of it is a common research topic.

Fault diagnosis of Mine hoist is always a quite require and significative task in the field of coal mine security.

Meanwhile the fault diagnosis system is a generic model that can be applied to other mechanism fault diagnosis systems.

Therefore the condition monitoring and fault diagnosis technology for large rotating machinery have gained an increasing attention.

At last, the engine fault diagnosis example shows that the validity of the decision-level fusion fault diagnosis model.

Theoretically, Fisher's discriminant analysis (FDA) has advantages on the classification techniques for fault diagnosis.

A common intelligence fault diagnosis system for the rotating machinery can be developed based on this theory.

The thermo-economics based performance analysis and predictive fault diagnosis were applied to a 630 MW unit.

Vibration monitoring is an important part of driving force machinery fault diagnosis.

Therefore, the research of intelligent fault diagnosis of transformer substation has important theory and practical meaning.

This paper introduces it's characteristics, structure, working principle, usage, maintaining and common fault diagnosis etc.

People from a number of reasons for concluding a search of the fault diagnosis steps where optimization.

It is shown that the uncertainty of circuit board component fault diagnosis can be solved fairly from the fusion result.

Fuzzy synthetic evaluation model is designed for fault diagnosis to find out running state of high-voltage circuit breaker.

Experiment for rotor fault diagnosis shows that SOLFD is better than other manifold learning algorithms.

A probabilistic neural network(PNN) model and its application to fault diagnosis are researched.

Then BP neural network is trained by use of the unified sample groups and used to analog fault diagnosis at sub-network-level.

Using this fault diagnosis expert system could afford all around and effective maintenance to FBW control system in engineering application.

On this basis, SVM fault diagnosis models were established, and the performance of different models was compared.

The fault mechanism is the foundation of fault diagnosis, is to get the accurate, reliable diagnosis important guarantee.

The abnormal limits of the diagnosed parameters need be determined during devices fault diagnosis process.

The fault diagnosis system fulfills fault diagnosis and orientation in virtue of artificial neural network and database technique.

A new method for adaptive time-varying filter design and its application in gearbox fault diagnosis is proposed.

Transformer fault diagnosis technology is divided into the state assessment and fault diagnosis.

Results: The maintenance staff take it as a basis for reducing the fault diagnosis and repair time.

The regional network fault decision-making system is mostly composed of fault diagnosis, fault restoration and operation order.

With the rapid development of computer network technology, it has been possible to realize remote monitoring and fault-diagnosis of device.

The test results show that the Deep-seabed robot fault diagnosis system is working correctly, the algorithm is effective.

This paper pursues a fuzzy neural networks approach for fault diagnosis and discusses its models and the choice of the fuzzy operators.

Therefore, a novel bearing condition monitoring and fault diagnosis system for locomotive stationary test is developed.

This short paper presents a novel solution to the fault diagnosis of nonlinear actuators in known deterministic dynamic systems.

This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine.

It is shown by results that the improved arithmetic for the fault diagnosis is effective and feasible in fault pattern recognition.

The benefits of the observer-based fault diagnosis scheme are with high robustness, high reliability and safety.

It carries out fault diagnosis by the adds-on software and hardware in the system.

Therefore, the establishment of condenser fault diagnosis system for power plant has economical and secure practical sense.

The results may provide theoretical references for fault diagnosis, dynamic design, and safe operation of rotor bearing system.

The theory of analog circuit fault diagnosis is very important and significant, and now it has become a hot research topic.

Spectrum correction theory is widely used in signal analysis and fault diagnosis and other areas, but the need for further research.

So in the second part of this thesis, a fault diagnosis expert system about electricity diesel engine is developed.

Fault diagnosis technology includes fault test, fault separation, and fault identification.

The Application of several NI technologies used in remote fault diagnosis of devices.

An efficient method for generating diagnostic strategy of the complex loop system is put forward to solve the problem of fault diagnosis.

In recent years, the machinery fault diagnosis has been improved by the application of cyclostationary signal processing.

The basic principles of fault diagnosis technology is introduced, the common failure and mechanism of wind turbines is summarized.

Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.

Fault diagnosis technology is developing with the increasing demand for supervisory control system.

But most of fault diagnosis methods are based on linear system theory, these methods can only be used in linear systems.

The text makes research and design for the realization of the fault diagnosis of Mine hoist break system.

According to the fuzzy and complexity of malfunctions of pig growth environment, the system of intelligent fault diagnosis was put forward.

The using patterns of NN(neural network)in fault diagnosis are researched. The way of NN(neural network)in fault diagnosis are discussed.

Signal Acquisition; Wavelet Transform; Wavelet Packet; Fault Diagnosis.

The practical application proves that the method is effective on fault diagnosis of rolling element bearing.

Equipment condition signal processing is the foundation of condition monitoring and fault diagnosis.

This paper presents the online monitoring and fault diagnosis system platform of large-scale motor used embedded technology.

Finally the application of FCV power batteries fault diagnosis indicate SAEFRLS s advantage of abrupt faults detection and isolation.

Application of data flow analysis in fault diagnosis of electronic control automotives is explained with an example.

Fault test and fault diagnosis technology provide an important approach for improving safety and reliability of weapon system.

CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.

Genetic algorithm has certain advantages in dealing with the issue of fault diagnosis and has broad prospects in appliance.

More complicated electronic systems become, more difficult fault diagnosis becomes.

The result indicates that the wavelet packet analysis can better identify the fault type in fault diagnosis of vibration for power unit.

This paper mainly introduces electronic-controlled engine fault diagnosis and maintenance of common.

The fault diagnosis strategy using data-driven positive-direction reasoning method in a 3-layered BP neural network was elaborated.

The electronic equipment fault diagnosis technology is a developing and crossing discipline.

The fault diagnosis model of GA-BP network has offered bright foregrounds to solve large scale, complex and parallel system problems.

Development of signal analysis and artificial intelligence technology supplies powerful tools for improving the fault diagnosis level.

This article introduces the technology of combining the artificial neural network with GA in the turbo generator's fault diagnosis.

The fault diagnosis system is developed to solve the problems that happen in the operation of instrument and control system in vessels.

This paper introduces basic theory of the bond graph, and by using the theory, fault diagnosis for space propulsion system is studied.

This paper researches two important issues about network fault diagnosis: fault location and fault detection.

Furthermore , a detailed survey of application of expert system in fault diagnosis of power system is presented in Chapter two.

Experiment results show that the proposed model well adapt to the demand of condenser fault diagnosis.

Misfire fault diagnosis model is a very important part of engine fault diagnosis.

State monitoring and fault diagnosis of drilling process is the significant support for safe working of drilling system.

The working principle of the hybrid system in board-level circuit fault diagnosis of radar was introduced.

To ensure the accuracy and stability of fault diagnosis, this diagnosis strategy sets up fault recognition mechanism.

Perhaps the most important features of these telemetry systems, though, are fault diagnosis and timely servicing.

The article also studies an higher-level testing fault diagnosis expert system having certainty artificial intelligence preparatorily.

The system has good expansibility, it can be extended to other kind of airplane "s fault diagnosis system. "

The feasibility and effectiveness of system-model are demonstrated by real examples of aircraft fault diagnosis.

The result shows that the method resolves the uncertainty of fault diagnosis, and fills a gap of the present diagnosis system.

The results show that the online simple fault diagnosis based on rough set is realized and the system resource of sub-node is saved.

Because of quantitative and nonlinear causal information, the solution of SDG fault diagnosis needs to be further verified and validated.

Characteristic extraction is a key step in the condition monitoring and fault diagnosis of reciprocating pump.

Based on this method, the authors make a primary study on fault diagnosis and isolation to large electronic equipment.

This article proposes a novel adaptive fault estimation design method based on an adaptive fault diagnosis observer.

Condition monitoring and fault diagnosis plays a vital role in guaranteeing the safety and the reliability of nuclear-powered plant.

A fault diagnosis and fault tolerant control system for brushless direct current motor controller was designed.

The fault diagnosis and optimal adjustment module was established using failure mode and adjustment model.

Artificial Neural Network (ANN) has been widely used in fault diagnosis of power trans former.

The background of the dissertation is the fault diagnosis of actual vehicle damping spring.

In circuit state detection and fault diagnosis, choosing proper feature parameters is vital to diagnosis.

A computer-aided vibration testing and fault diagnosis analysis system for some aircraft engine is developed.

The problem of concurrent fault diagnosis is one of the difficulties with fault diagnosis technology, not yet very good solution.

The paper proposes new power transformer fault diagnosis approach to deal with the imperfect signals, caused by different cases.

The thesis first introduces the history, the significance and the current research status of machine fault diagnosis.

An approach to gear fault diagnosis is presented, which bases on kernel principal component analysis (KPCA).

This system have been applied in the fault diagnosis of the large steel plant's fan.

FC PING is a network tool of network fault diagnosis, it is a simple network management service in the FC protocol.

The BP neural networks model used in fault diagnosis is constructed, and the process of forward reasoning is given.

The objective project files are developed by using automatic code generation tool, so the online fault diagnosis code is generated.

The problem of selecting the testing point of the fault diagnosis of the analog nonlinear circuit is studied in this paper.

It is studied the application of independent component analysis and support vector machine to fault diagnosis of induction motor.

This paper mainly introduce the fault diagnosis technique of key parts in cableways, wire rope and detachable grip.

Multi-scale principal component analysis (MSPCA) for sensor fault diagnosis is discussed.

As a new method of one-class classification for mechanical fault diagnosis, support vector data description (SVDD) method is presented.

Compared with other methods, the result shows that the method can achieve fault diagnosis with more high accuracy.

The composition of hardware, the design of software and realization of fault diagnosis are illustrated.

A software for fault diagnosis of water chilling unit is developed by applying fuzzy theory and artificial neural network in expert system.

A new type of liquid display screens in the cabs for the fault diagnosis systems on locomotives is presented in this paper.

The fault diagnosis of turbo generator plays important roles in power system economical operation.

Therefore, the research of fault diagnosis technology of machinery is critical in modern industry.

Fault diagnosis is a complex and difficult problem that concerns effective decision-making.

Therefore, the research of vessel generator fault diagnosis has great significance.

the application of the air gap torque in motor fault diagnosis.

Some improvement has been made on fault diagnosis of the current centralized Bayesian network model.

A new method for the application of database technique in spacecraft fault diagnosis is provided.

The method can also be widely used in fault diagnosis of equipments that have reciprocators.

Dissolved gas analysis (DGA) is the most effective and convenient method in transformer fault diagnosis.

The problem of selecting the testing point of the fault diagnosis of analog dynamic circuit is studied in this paper.

The hybrid strategy provides a new solution to the problem of condition monitoring and fault diagnosis in the course of power generation.

Involved in ship engine rotor center trajectory measurement and fault diagnosis system of research and development.

The achievement can provide a new method and prototype software tool for the fault diagnosis of. . .

For energy feature extraction from de-noise signals, It offers a new fault sample for neutral network fault diagnosis.

This thesis discusses the theory of expert system and the method of rotating machinery fault diagnosis.

This method may provide a means for intelligent condition monitoring and fault diagnosis of gas turbine set.

Analog circuit testing is mainly divided into two parts: one is the fault diagnosis, the other is fault location.

An Integrated Vehicle and Ground Fault Diagnosis System for space laboratory is described in detail.

Finally, a simple simulation shows this method of fault diagnosis is feasible.

Then by applying artificial neural network to fault diagnosis of systems controlled by PLC, a new method is provided.

Finally, an actual fault diagnosis example explain the validity of the method.

Power network fault diagnosis is system-level fault diagnosis in the power dispatching centers.

The subject is very meaningful to perfect sensor fault diagnosis methods in Air-conditioning system.

Simulation results show that the method of fault diagnosis of Turbine has high practical value.

It provides a new method for analysis of the complex vibration signals and fault diagnosis.

Again, the structure information of power station is used to improve fault diagnosis precision accuracy.

The main point of intelligent fault diagnosis data theory is fault mode distinguish principle based on data processing methods.

A simulation before test method for fault diagnosis of nonlinear analog circuits is presented.

The Operation of power transformer fault diagnosis is an important way to guide transformer maintenance.

In the paper the application of wavelet transform is discussed in mechanical noise fault diagnosis.

Automobile fault diagnosis estimates the fault styles by using different methods and the related information.

Finally, this paper has developed the fault diagnosis system of the bearing of rail transit vehicles.

At present, wavelet transform is applied widely in rotating machine fault diagnosis.

Therefore, it is significant to develop the corresponding fault diagnosis applied expert system.

The system gives a new development way to the study of intelligent fault diagnosis for new-style weapon equipment.

Research on fault diagnosis for power plant fan based on rough sets was the recent years hot topic.

The K-L subspace method of pattern recognition is introduced to solve the fault diagnosis of rotating machinery.

State monitoring and fault diagnosis are directly related to the safety, reliability and economy of nuclear power plants.

On the based of rotating machinery fault diagnosis model, familiar fault on gas blower are analyzed.

In addition, the characteristics of the common seen fault diagnosis and fault tolerant control methods are compared.

Thereby, Back-propagation Neural Network (BPNN) is applied to fault diagnosis system in the paper.

This paper focused on the modeling and network integration of fuzzy control and fault diagnosis.

This paper presents an expert system for alarm processing and fault diagnosis in local power system.

Each branch station communicates with the fault diagnosis center by using wireless network.

It's worth relying that they would have a promising application for the fault diagnosis of the gear and rolling element bearings.

This paper applies BP neural networks to the fault diagnosis of turbine supercharging system of diesel engine.

A new method of subtractive clustering RBF network for air condition breeze fan fault diagnosis is presented.

In the end, CWT is used for fault diagnosis of rolling bearing and gearbox. Very good results are obtained using this method.

The approach can expend the fault diagnosis bounds, and is easy to implement in engineering practice.

A fault diagnosis method based on singular spectrum analysis is described based on the reconstructed attractor in reconstructed phase space.

Information entropy~based fault diagnosis strategy with least test cost.

So research more efficient motor fault diagnosis method to detect is extremely urgent.

In the process of the mechanical fault diagnosis, signal measuring and processing is the first important step.

The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.

Therefore a hydraulic fault diagnosis system based on web is discussed for the research and development in wood-based panel hotpress.

Analog circuit fault diagnosis has been very necessary and meaningful, and it has become a hot topic for research.

In the paper, the wavelet neural network is applied in fault diagnosis of the gear-box.

By using the data interactive technology of force control configuration and MATLAB, the paper puts forward real-time fault diagnosis method.

Therefore, it is significant to research the technique of transformer fault diagnosis and improve the level of operation and maintenance.

Firstly, based on the fault mechanism and vibration characteristics of the gearbox, an experiment system of fault diagnosis was designed.

In conclusion, more application of rough sets for fault diagnosis are discussed.

Some questions about direct-driven wind turbine fault diagnosis system remain to perfect and futher study is summarized.

It "s very important to make fault diagnosis for electronic equipment and repaire it quickly and accurately. "

The computer simulation shows this moted is very effective to the fault diagnosis of vibration of hydro-generator units.

It constructs the model of fault diagnosis for NC device and realizes intelligentization for fault diagnosis for NC device.