TY - JOUR N2 - This paper presents a Kalman filter based method for diagnosing both parametric and catastrophic faults in analog circuits. Two major innovations are presented, i.e., the Kalman filter based technique, which can significantly improve the efficiency of diagnosing a fault through an iterative structure, and the Shannon entropy to mitigate the influence of component tolerance. Both these concepts help to achieve higher performance and lower testing cost while maintaining the circuit.s functionality. Our simulations demonstrate that using the Kalman filter based technique leads to good results of fault detection and fault location of analog circuits. Meanwhile, the parasitics, as a result of enhancing accessibility by adding test points, are reduced to minimum, that is, the data used for diagnosis is directly obtained from the system primary output pins in our method. The simulations also show that decision boundaries among faulty circuits have small variations over a wide range of noise-immunity requirements. In addition, experimental results show that the proposed method is superior to the test method based on the subband decomposition combined with coherence function, arisen recently. L1 - http://www.journals.pan.pl/Content/90134/PDF/Journal10178-VolumeXX%20Issue2_14.pdf L2 - http://www.journals.pan.pl/Content/90134 PY - 2013 IS - No 2 EP - 322 DO - 10.2478/mms-2013-0027 KW - Analog fault diagnosis KW - signature extraction KW - Kalman filter KW - Shannon entropy A1 - Li, Xifeng Li A1 - Xie, Yongle A1 - Bi, Dongjie A1 - Ao, Yongcai PB - Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation DA - 2013 T1 - Kalman Filter Based Method for Fault Diagnosis of Analog Circuits SP - 307 UR - http://www.journals.pan.pl/dlibra/publication/edition/90134 T2 - Metrology and Measurement Systems ER -