Analog-circuit fault diagnosis method based on DAGSVC

A technology for simulating circuit faults and diagnostic methods, which is applied in the direction of analog circuit testing, electronic circuit testing, etc., and can solve problems such as slow diagnosis speed, reduced fault resolution, and missing fault information, and achieve reduced scale, reduced number of measuring points, The effect of good diagnostic efficiency

Inactive Publication Date: 2009-09-16
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, conventional binary support vector machine classifiers (mainly "1-v-r" and "1-v-1" two types of structures) have problems such as low diagnostic accuracy or slow diagnosis speed; and DDAG classification with a similar structure The structure of the device is not unique, and different structures may have inconsistent diagnostic accuracy
In addition, in the fault diagnosis process, the fault sample extraction technology is also very critical. The conven

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  • Analog-circuit fault diagnosis method based on DAGSVC
  • Analog-circuit fault diagnosis method based on DAGSVC
  • Analog-circuit fault diagnosis method based on DAGSVC

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[0020] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0021] The present invention adopts the analog circuit fault diagnosis process block diagram based on DAGSVC, such as figure 1 As shown, the specific operation is as follows:

[0022] 1) Carry out testability analysis methods such as frequency scanning and sensitivity analysis on the analog circuit to be tested to determine the optimal test node and test stimulus of the circuit, and the settings of the test node and test stimulus remain unchanged during sample training and sample testing .

[0023] 2) For various typical failure modes set, apply optimized test stimulus to the circuit, and collect the output response V of the circuit at the optimized measurable node out , and on the signal V out The fractional order wavelet packet multilayer decomposition is carried out, the decomposed coefficients are normalized, and the normalized value is extracted as the fau...

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Abstract

The invention discloses an analog-circuit fault diagnosis method based on DAGSVC. The method comprises the following steps: applying certain test excitation to a analog circuit to be tested; acquiring circuit output response signals to be tested in a testable node of the circuit; performing multi-order fractional order wavelet packet (FRWPT) transformation on the acquired circuit output response signals and extracting fault characteristics so as to form a test sample; and performing calculation by utilizing fault-dictionary prestored information together with the DAGSVC to classify and position faults. The method has the advantages of global training optimality, fewer needed training samples, high fault-information resolution and the like, and can improve the precision and efficiency of diagnosing the faults of analog circuits.

Description

technical field [0001] The invention relates to a DAGSVC-based analog circuit fault diagnosis method, which belongs to the field of circuit network testing and signal processing Background technique [0002] Circuit network diagnosis technology has become another research focus after circuit network theory analysis and synthesis. For digital circuits, the diagnosis method is relatively mature, but there is no new breakthrough in the fault diagnosis method for analog circuits, and it is still hesitating. [0003] At present, the diagnostic methods for analog circuits mainly include: modeling and pattern recognition methods. Among them, the modeling method is mainly suitable for the fault diagnosis of linear or weak nonlinear circuits, and the analog fault diagnosis technology based on intelligent pattern recognition methods such as neural network and fuzzy mathematics can diagnose both linear circuits and nonlinear circuits, and is becoming the current research hotspots. A...

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Application Information

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IPC IPC(8): G01R31/316
Inventor 崔江王友仁罗慧
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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