A Clustering-Based Approach for Failure Mode Identification
Abstract
Research has shown that nearly 80% of the costs and problems are created in product development and that cost and quality are essentially designed into products in the conceptual stage. Currently failure identification procedures (such as FMEA, FMECA and FTA) and design of experiments are being used for quality control and for the detection of potential failure modes during the detail design stage or post-product launch. Though all of these methods have their own advantages, they do not give information as to what are the predominant failures that a designer should focus on while designing a product. This work uses a functional approach to identify failure modes, which hypothesizes that similarities exist between different failure modes based on the functionality of the product/component. In this paper, a statistical clustering procedure is proposed to retrieve information on the set of predominant failures that a function experiences. The various stages of the methodology are illustrated using a hypothetical design example. Copyright © 2002 by ASME.
Recommended Citation
S. G. Arunajadai et al., "A Clustering-Based Approach for Failure Mode Identification," ASME International Mechanical Engineering Congress and Exposition, Proceedings, pp. 697 - 705, American Society of Mechanical Engineers, Jan 2002.
The definitive version is available at https://doi.org/10.1115/IMECE2002-39422
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-079183628-6
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Jan 2002
