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A novel fault detection method based on margin statistics of generalized non-negative matrix factorization (GNMF) is proposed. The construction of traditional process monitoring method based on multivariate statistical that neglects the correlation relation and feature distribution of latent variables at different sampling times, and the method also need to assume that latent variables satisfy a particular...
Bearings are widely used in industrial equipment, and their fault detections have tight relationship with the safety production and economic operation. Its running state can influence the performance of the whole machine directly, and the fault of bearing is one of the main factors that lead to the fault of machinery equipment during the running process. Instead of using traditional measures based...
Feature extraction is very important in the fault detection of rolling bearing for wind turbine. More features don't mean good performance. Data analysis and experiment based on real wind turbine samples are carried out to achieve efficient fault detection. Firstly, the original signal is decomposed with improved Empirical Mode Decomposition(EMD) to get a finite number of stationary intrinsic mode...
Fault detection method using k nearest neighbor rule has shown its advantages in dealing with nonlinear, multi-mode, and nonGaussian distributed data. Once a fault is detected in industrial processes, recognizing fault variables becomes the crucial task subsequently. Recently, the method of fault variables recognition using k nearest neighbor reconstruction (FVR-kNN) has been reported. However, the...
In this paper, a problem of robust fault detection for uncertain networked control system (NCS) including random data packet loss is investigated. This NCS is established as a stochastic system with norm-bounded uncertainty, in which the stochastic variable is followed by Bernoulli distribution. Then, a robust fault detection filter (FDF) is designed based on the observer method, which is obtained...
This paper addresses the problem of the fault detection problem for discrete-time Markovian jump systems under an event-triggered scheme. The event-triggered scheme from the plant to the fault detection filter is utilized to reduce the frequency of transmission. Our attention is focused on the design of a fault detection filter such that the residual system is stochastically stable and satisfies some...
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