fault feature

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

Through the experimentation, this method can effect to realize the recognition of motor bearing fault feature.

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

The fault feature extracted by wavelet packet is input to the neural network, and the training, test and diagnosis is completed.

Single phase to ground fault feature of small current grounding system is systematically analyzed.

The paper introduces the fault feature and repair method at common unit of PABX , and the repair of HARRIS PABX is analyzed .

Adopts the wavelet packet algorithm for fault feature extraction and proposed a diagnosis method based on band energy.

In the fault diagnosis of gear system, the key is how to extract the fault feature from random signals by proper methods.

Therefore, the incipient fault feature can not be extracted effectively through frequency spectrum analysis.

In the gear is fault diagnosis, the key is how to extract the fault feature from random signals by proper methods.

Because of the girder's structure, it is very difficult to obtain its status signal and extract its crack fault feature.

It can detects the fault feature frequency in all kinds of fault types and normal signals of rolling bearing. 4.

Kernel Principal Component Analysis and Its Application to Fault Feature Extraction

Study of the Fault Feature Extraction Method for Rotor Rub-impact Based on the Second Generation Wavelet Transformation

Fault feature extraction using nonlinear wavelet transform

The Method of Soft Fault Feature Extraction and Fault Diagnosis at Functional Module Level in Analog Circuit

Research on Fault Feature Extraction of Loading Machine Hydraulic System

Bispectrum Based Gear Fault Feature Extraction and Diagnosis

Joint Optimization of the Fault Feature and Classifier

Rotor Broken Bars Fault Feature Extraction of Induction Motor Base on Wavelet Ridge

Research on Fault Feature of Ball Bearings Using Time - frequency Analysis

Cenozoic Fault Feature and Trap Styles of Northern Area in West Depression of Liaohe Basin

The fault feature and hydrocarbon accumulation in the western Ordos Basin

The fault feature of the tractor transmission system

Composite Fault Feature Selection Method

Application of OLAP Technique to Gear Fault Feature Analysis

Research on Mechanical Fault Feature Selection Based on Feature Relevancy and Redundancy Analysis

Fault-feature Detection of Transmission System Based on Simulated Algorithm and Genetic Algorithm

Study on Fault Feature in Large Asynchronous Motor Rotor Winding

VPRS Model Approach to Fault Feature Selection and Diagnostic Rules Extraction

the method of SOCS can effectively extract the fault feature from the signals;

Rotor Fault Feature Extraction of Motor Faults of Induction Motor Based on a Modified Music Method

Wavelet Construction Based on Lifting Scheme and Incipient Fault Feature Extraction

Rotor Fault Feature Extraction of Squirrel-cage Induction Motors Based on Wavelet Ridge

A Fault feature Extracting Method Based on Moment Invariants of Local Wave Time-frequency Image

Cable Fault Feature Extraction Method Research Based on Wavelet Analysis

Bearing Fault Feature Extraction Based on Wavelet Packet Transform

Fault Feature and Repair of Common Control Unit of PABX

Fault Feature Extraction from Engine's Vibration Signals Based on Rough Set Approximative Approaching Theory

Research on Mechanical Fault Feature Selection Based on Wrapper Model

Fault Feature Handling Algorithm Based on Distance Metric

The study of fault feature extraction

Research on Fault Feature of Ball Bearings Based on Bispectral Estimate

Signal Decomposition with Matching Pursuits and Technology of Extracting Machinery Fault Feature Based on Impulse Time-frequency Atom