Fault isolation algorithm for analog electronic systems using the fuzzy concept

We are mainly concerned with enhancing ATPG for analog nonlinear circuits. For simplicity we are dealing only with the isolation of single fault cases. Due to the imprecision and indeterminacy of the complex structure of faulty networks, it is usually difficult to obtain exact solutions. Furthermore, for fault isolation it is often unnecessary to seek the exact solutions. In fact we find it useful to treat such faulty networks as fuzzy systems. The algorithm presented herein makes use of the available measured data on port responses to isolate the faulty components based on fuzzy set concepts. An illustrative example using the NAP2 network analysis program is included. These results aie compared with previous results based on other criteria.