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SVM has been widely used in mechanical system fault diagnosis in recent years.
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Simulation studies verify the effectiveness of the new method and demonstrate the performance of the method when applied to address a mechanical structural system fault diagnosis problem.
Fault diagnosis of mechanical system based on ANN has some limitations.
Feature extraction plays a vital role in intelligent fault diagnosis of mechanical system.
ELM has been extensively applied and popularized in the fault diagnosis of mechanical system in recent years.
Different mechanical engineers may have their own opinions about the system fault knowledge base that differs slightly from other mechanical engineers.
The weak and unrecognizable transient fault signal of a mechanical system can be enhanced by the stochastic resonance (SR) technique that utilizes the noise in the system.
The studies show that the EMD method is powerful for fault diagnosis in the mechanical system, thus it is chosen to indicate the failure of the gripper cylinder in TBM.
Most of fault detection methods in a mechanical system have been researched based on the vibration signal.
Fault pattern identification is a crucial step for the intelligent fault diagnosis of real-time health conditions in monitoring a mechanical system.
This is very mechanical system.
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