fault prediction

Transformer fault diagnose and fault prediction are the basis of the transformer condition based maintenance.

The prediction performances of the method are tested on simulation experiment of inertia device fault prediction.

Finally, the difficult problems as well as the development trends of fault prediction methods for rotating machinery are discussed.

The neural network and the fault prediction technique with experts are combined to form a fault prediction system.

Simulation results demonstrate that the fault prediction algorithm based on weight selected particle filter is feasible.

A novel fault prediction method based on multiple kernel-learning is proposed for fault prediction in nonlinear time series.

Finally, the air defense C^3I system as an example is used to realize fault prediction.

Compared with fault prediction, detection of the karst caves is more difficult using TSP203.

A new aircraft fault prediction method based on fractal dimension was proposed and the prediction formula was given.

A fault prediction method is presented based on neural network on-line learning.

At first, this paper introduces the recent development and the importance of fault prediction techniques of dynamic systems.

A new fault prediction method of motor based on fuzzy neural network is proposed in the paper.

Application of a User-oriented Optimum Knowledge Quantity Property Reduction Algorithm to Fault Prediction of Numerical Control Machines

New gray prediction parameter model and its application in electrical insulation fault prediction

Design of fault prediction system for monitoring the operation state of watercraft diesel

Application of wavelet transform to air conditioning refrigerating machine fault prediction

Fault Prediction Study Of Circuit-breaker Based On Combination Algorithm And Radial Basis Function Neural Network

Inertia Device Fault Prediction on Combination Forecasting Model of ARIMA and Support Vector Machine

Application of the statistical process control in UAV fault prediction system

Comparative Study of Software Fault Prediction Models Based on Different Neural Networks

Application of Multi-agent Integration to Fault Prediction of Complicated Systems

Transformer fault prediction using new grey prediction model

Fault prediction techniques for dynamic systems

Calculational Methods of Control Upper-boundary in Fault Prediction of Decision Systems

Application of Fault Tree Analysis to Fault Prediction

Neural network model based fault prediction

Fault Prediction of Decision System: A Rough Set Approach

The Performance Analysis of Missile Inertia Device Fault Prediction Based on Neural Networks

Fault Prediction of Inertial Device of Missile Based on Nonlinear Combination Forecastion with Wavelet Support Vector Machine

Nonlinear time series fault prediction based on clustering and support vector machines

Nonlinear Missile Inertia Device Fault Prediction Based on Chaotic Analysis

Fault Prediction Expert System Based on Covariance Constraint Control

Missile Inertia Device Fault Prediction System Based on Support Vector Machine

Fault Prediction Techniques for Dynamic Systems Based on Non-analytical Model

Research on Fault Prediction System for Self-Propelled Gun Based on Virtual Prototype

Missile Inertia Device Fault Prediction System Based on Neural Network Model

Fault Prediction for Nonlinear Time Series Based on Unknown Input Observer

Fault Prediction Research on Gun Automatic Loader Based on Neural Network

Military Plane Fault Prediction System Based on Neural Network Model

Fault Prediction for Rotating Machinery Based on Time Series Data Mining

Aircraft Fault Prediction Based on Fractal Dimension

Fault prediction and diagnosis system of large rotating unit based on virtual instrument

A Fault Prediction Method Based on LMBP Neural Network and Its Application

Mixed Fault Prediction Based on Kalman Filtering and Expert System

Fault Prediction Method for Transformers Based on ARMA Model

Fault Prediction: A Method Based on Random Process Control

Fault Prediction Method Based on RBF Network On-Line Learning

Fault prediction for inertial device based on LMBP neural network