This has severely limited the applications of fault diagnosis.
In the application of SVM to a fault diagnosis problem, typically a discrete decision function with discrete output values is utilized in order to solely define the label of the fault.
There is no doubt that the application of superconducting fault current limiters in the power grid will be promising if their negative impacts on the operation of the power grid could be significantly reduced.
The accurate selection of suitable features that reflect the running status of equipment in practical application of fault diagnosis is the key point of research.
In this work, we focus on the application of an integrated fault detection and isolation and fault tolerant control (FDIFTC) framework to a catalytic alkylation of benzene process.
However, limitations caused by the application of SIFT in fault diagnosis system can be avoided by replacing this method by a superior one with illumination invariance capability.
In the present study, the application of SVM algorithm in the field of fault diagnosis and condition monitoring is discussed.
Section 2 reviews the application of computational intelligence in fault diagnosis.
Reference [6] summarizes the application of the wavelet in machine fault diagnosis, including the fault feature extraction, the denoising and extraction of the weak signals, and the system identification.
In addition, the results are compared with several traditional TFAs and the proposed method outperforms others in accurate feature extraction, which is promising in applications of fault detection, system condition monitoring, parameter identification, etc.
