TY - JOUR AU - Ashok Kumar AU - Gopa Karmakar PY - 2004/04/01 Y2 - 2024/03/29 TI - Fault Detection in Systems-A Fuzzy Approach JF - Defence Science Journal JA - DSJ VL - 54 IS - 2 SE - Computers & Systems Studies DO - 10.14429/dsj.54.2032 UR - https://publications.drdo.gov.in/ojs/index.php/dsj/article/view/2032 AB - The task of fault detection is important when dealing with failures of crucial nature. After detection of faults in a system, it is advisable to suggest maintenance action before occurrenceof a failure. Fault detection may be done by observing various symptoms of the system during its operational stage. Sometimes, symptoms cannot be quantified easily but can be expressedin linguistic terms. Since linguistic terms are fuzzy quantifiers, these can be represented by fuzzy numbers. In this paper, two cases have been discussed, where a fault likely to affect a particular systemlsystems, is detected. In the first case, this is done by means of a compositional rule of inference. The second case is based on modified similarity measure. For both theseĀ  cases, linguistic terms have been expressed as trapezoidal fuzzy numbers ER -