Fault diagnosis for wind turbine transmission systems is an important task for reducing their maintenance cost. However …, the non-stationary dynamic operating conditions of wind turbines pose a challenge to fault diagnosis for wind turbine … transmission systems. In this paper, a novel fault diagnosis method based on manifold learning and Shannon wavelet support vector …

In rotating machines, shaft and bearing are the critical components of interest for fault diagnosis. In recent years …, the application of machine learning for fault diagnosis is gaining momentum. This paper presents the fault diagnosis of … evaluated. The effectiveness of the vibration and sound signal for the fault diagnosis are discussed and compared. …

Feature selection is critical to maintain high performance of classification-based fault diagnosis with a large feature …

As the use of wind power has steadily increased, the importance of a condition monitoring and fault diagnosis system is …

analyzed in detail. Third, the ANN ensemble for the fault diagnosis is built and modeled. This model is trained and tested by … the data. The test result shows that, compared with the previous method for fault diagnosis of PEMFC systems, the proposed … fault diagnosis method has higher diagnostic rate and generalization ability. Moreover, the partial structure of this method …

-simultaneous faults, the paper proposes a multi-source information fusion based fault diagnosis methodology by using Bayesian network, due … representation and reasoning, and can deal with the uncertainty problem of fault diagnosis well. The Bayesian networks based on … diagnosis model is established by combining the two proposed Bayesian networks. Six fault diagnosis cases of GSHP system are …