Linking product functionality to historic failures to improve failure analysis in design

Abstract

Prior research has shown that similar failure modes occur within products (or components) with similar functionality. To capitalize on this finding, a knowledge base-driven failure analysis tool, the function-failure design method (FFDM), has been developed to allow designers to perform failure mode and effect analysis (FMEA) during conceptual design. The FFDM can offer substantial improvements to the design process since it enhances failure analysis thus giving it the ability to reduce the number of necessary redesigns. The FFDM, however, is only as good as the knowledge base that it draws from, and one fundamental question that arises in using the FFDM is: at what level of detail should functional descriptions of components be encoded? This paper explores two approaches to populating a knowledge base with actual failure occurrence information from Bell 206 helicopters. Results indicate that encoding failure data using more detailed functional models allows for a more robust knowledge base. Interestingly however, when applying FFDM, high level descriptions continue to produce useful results when using the knowledge base generated from the detailed functional models.