A fuzzy-based genetic approach to the diagnosis of manufacturing systems

Design and implementation of a generic nonconformance tracking and recovery (GINTR) system

“…In this perspective, the principal constituent methodologies in soft computing are complementary rather than competitive. Khoo et al [12] proposed a hybrid approach that integrates graph theory, fuzzy sets and genetic algorithm (GA) for the diagnosis of manufacturing systems. Soft computing technologies can also be integrated with traditional diagnosing technologies to form a hybrid approach to solving the nonconformance problem.…”

Artificial Intelligence in Maintenance

“…GAs have had some moderate but constant interest over the past decade in the area of fault diagnosis. Applications range from manufacturing systems (Khoo et al 2000), nuclear power plants (Yangping et al 2000), electrical distribution networks (Wen and Chang 1998) to a new area of application in automotive fuel cell power generators (Hissel et al 2004).…”