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In the data-driven framework of fault detection system design, both faults and normal conditions can be viewed as different patterns and thus can be distinguished by ways of pattern recognition. This paper first generates four data sets by means of simulation and then deals with three kinds of faults in the ship propulsion system through softmax classification, which is a widely used method in multi-class...
Contrary to the parameter-depended uncertainty system, the order of the linear matrix inequalities is reduced, then the RPRO fault detection and fault isolated filters are constructed. Then a RPRO fault isolation filter is designed for occurrence of both actuator fault and sensor fault in the aerocraft's closed-loop control system, and fault diagnosis system is structured based on the fault isolation...
A new LMI (linear matrix inequality)-based filter design methodology which can solve the multi-objective optimation problem for fault detection in LTI(linear time invariant) plants is presented. The main contributions consist of the formulation of the FD problem as a multi-objective optimization problem and the successful application in the aerocraft's closed-loop control system. The fault detection...
Problems existing in traditional technical service model was analyzed, in order to solve these problems and improve quality and efficiency of technical service, shorten the producing cycle of product, a new mode of the technical service was presented, which was the networked technical service oriented product lifecycle based on the multi agent technique, network technique and modern communications...
To solve a good many problems existing in traditional technical services model and improve quality and efficiency of technical service, shorten producing cycle of product, a new mode of technical service is presented, which is networked technical services oriented product lifecycle based on multi-agent technique, network technique and modern communications technique. Function and architecture of the...
This paper presents a robust fault detection (FD) scheme for detecting and approximating state faults occurring in a class of nonlinear dynamical systems. In the presence of a failure, the values exported by the on-line approximator (OLA), are used as an estimate of the real nonlinear fault function. The general inspiration for constructing OLA model in FD is based on the radial basis function (RBF)...
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