Skip to main content

A Preprocessor for Analog Circuit Fault Diagnosis Based on Prony's Method

Buy Article:

$28.45 plus tax (Refund Policy)

Abstract:



The paper presents a new technique for analog circuit fault diagnosis. The circuit under test is simulated both at fault free and different faulty conditions using PSPICE software. The AC response to a set of sinusoidal input frequencies is calculated at selected test nodes. Prony's method is then utilized as a preprocessor to extract an optimal set of features representing nodal voltage waveforms. The resultant features are used to train a back-propagation neural network to identify circuit faults. The potential of the algorithm is demonstrated by a second order active circuit example.

Keywords: Analog circuits; Fault diagnosis; Neural networks; Prony's method

Document Type: Original Article

DOI: http://dx.doi.org/10.1078/1434-8411-54100136

Affiliations: 1: Electronics and Communication Department, Cairo University, Giza, Egypt. E-mail: elbarawy@aucegypt.edu 2: Engineering Mathematics and Physics Department, Cairo University, Giza, 1221, Egypt. E-mail: amohsen@alphal-eng.cairo.eun.eg

Publication date: January 1, 2003

urban/541/2003/00000057/00000001/art00136
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more