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Adaptive Lattice Filter Based Approach to Fault Detection in the Absence of a System Model

Adaptive Lattice Filter Based Approach to Fault Detection in the Absence of a System Model
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摘要 This paper proposes a novel approach to the incipient and abrupt fault detection for a class of unknown linear dynamic systems. The proposed method generates a set of residual sequences from the system input and measured output using an adaptive bi channel lattice filter. The fault detection is carried out by performing statistical tests on the residuals. The distinctive advantage of this method is that a model of the unknown system is not required a priori for the purpose of fault detection. An application of this approach in a practical control system has been implemented, and satisfactory results have been obtained. This paper proposes a novel approach to the incipient and abrupt fault detection for a class of unknown linear dynamic systems. The proposed method generates a set of residual sequences from the system input and measured output using an adaptive bi channel lattice filter. The fault detection is carried out by performing statistical tests on the residuals. The distinctive advantage of this method is that a model of the unknown system is not required a priori for the purpose of fault detection. An application of this approach in a practical control system has been implemented, and satisfactory results have been obtained.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 1997年第4期58-62,共5页 清华大学学报(自然科学版(英文版)
关键词 fault detection adaptive lattice filter hypothesis testing fault detection adaptive lattice filter hypothesis testing
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