...Yong-Ping Zhao; Hui-Jie Jin; Hao Liu Data-driven fault diagnosis method is widely used in the field of engine health management, which uses engine sensor data as input and engine faulty components as output for component-level fault diagnosis of the engine. The application premise of the general...

... rate leakage fault diagnosis is presented to classify the pump's condition as either healthy or moderately faulty or severely faulty. Fig. 7 Dynamic pressure signal at the pump outlet at different degrees of leakage fault: (top) for one pumping cycle. (Bottom) for three pumping cycles. Dynamic...

... for classification. It is a widely used machine learning method in health state recognition, especially for fault diagnosis of rolling element bearings, gears, motors, engines, and rotor systems [ 25 ]. Table 7 Results of fault identification using the proposed methodology in test scenarios 1 and 2...

.... , Zhu , H. , ., 2010 , “ Rolling Element Bearing Faults Diagnosis Based on Optimal Morlet Wavelet Filter and Autocorrelation Enhancement ,” Mech. Syst. Signal Process. , 24 ( 5 ), pp. 1458 – 1472 . 10.1016/j.ymssp.2009.11.011 [4] Cheng , J. S. , Yu , D. J. , and Yang , Y...

..., 2014; published online April 10, 2014. Assoc. Editor: Shankar Coimbatore Subramanian. 02 09 2012 10 01 2014 This paper proposes a novel fault diagnosis approach for the satellite attitude control system with flywheel faults. The key contributions include fault estimation by sparse...

... , e x ( 0 ) = 0 , and f ∧ ( 0 ) = 0 . Then with the controller gain K 1 * selected, the fault diagnosis results are presented in Fig. 7 for both Case 1 and Case 2. The stabilization results for nonzero initial states are verified in Fig. 8 , which...

...Rongrong Wang; Junmin Wang This paper presents an in-wheel motor fault diagnosis and fault-tolerant control method for four-wheel independently actuated (4WIA) electric vehicles. The 4WIA electric vehicle is one of the promising architectures for electric vehicles. While such a vehicle architecture...

... 29 12 2011 compressors fault diagnosis fuel systems internal combustion engines mechanical engineering computing pressure sensors signal processing modeling engine exhaust pressure estimation model-based diagnostics fault detection isolation In the past, various...

... Detection and Identification ,” IEEE Trans. Autom. Control , 34 ( 3 ), pp. 316 – 321 . 10.1109/9.16422 5 Seliger , R. , and Frank , P. M. , 1991 , “ Fault Diagnosis by Disturbance Decoupled Nonlinear Observers ,” 30th IEEE Conference on Decision and Control , Brighton, England . 6...

... ensures that the TWC is functioning at an acceptable efficiency level keeping emissions within mandated requirements. automobiles catalysts condition monitoring fault diagnosis internal combustion engines least squares approximations 24 11 2008 19 02 2011 05 08 2011 05...

...P. K. Kankar; Satish C. Sharma; S. P. Harsha In this paper, fault diagnosis of high speed rolling element bearings due to localized defects using response surface method has been done. The localized defects as spalls on outer race, on inner race, and on rolling elements are considered...

... a Diesel engine test cell and a truck. 12 06 2008 12 03 2009 17 12 2009 17 12 2009 diesel engines fault diagnosis flow simulation least squares approximations orifices (mechanical) parameter estimation recursive estimation valves Modern engine on-board diagnostics...

... with efficient local model parameter estimation into an integrated framework for modeling and identification of general nonlinear dynamic systems. The identified model then serves as a foundation for building an effective anomaly detection and fault diagnosis system. By utilizing the information about system...

... gas recirculation cooler of a different engine. 20 06 2007 24 08 2008 18 05 2009 condition monitoring cooling diesel engines engine cylinders exhaust systems fault diagnosis flaw detection fuel systems intake systems (machines) machinery production industries manifolds...

... electromagnetism failure analysis fatigue testing fault diagnosis feedback finite element analysis flaw detection interpolation magnetic flux shapes (structures) eddy current sensors nondestructive evaluation smart sensors Eddy current sensors excel at flaw detection, e.g., through...

... 2005 08 11 2007 01 08 2008 adaptive Kalman filters fault diagnosis neural nets parameter estimation variable structure systems Parameter estimation Variable structure systems Kalman filter Consider an increasingly important application of parameter estimation...

.... A component fault detection and isolation scheme based on these observers is proposed. The effectiveness of the observer and the fault diagnosis scheme is shown by applying them for component fault diagnosis of an electrohydraulic actuator. 29 01 2007 09 01 2008 09 06 2008 actuators...

... region of possible behaviors, or in other words, if it is believed that there is nothing left to be learned during the actual online working phase, then the learning capability could be safely turned off. 22 02 2006 17 07 2007 29 02 2008 diesel engines fault diagnosis...

...F. Caccavale; F. Pierri; L. Villani This paper deals with the problem of fault diagnosis (FD) for a class of nonlinear systems. The scheme is based on a discrete-time diagnostic observer that computes a prediction of the system’s state. Compensation of the fault effect on the state prediction...

...Wen Chen; Mehrdad Saif This paper presents a novel fault diagnosis approach in satellite systems for identifying time-varying thruster faults. To overcome the difficulty in identifying time-varying thruster faults by adaptive observers, an iterative learning observer (ILO) is designed to achieve...