A generalized model selection framework for multi-state failure data analysis
International Journal of Quality & Reliability Management
ISSN: 0265-671X
Article publication date: 11 January 2022
Issue publication date: 19 July 2022
Abstract
Purpose
The purpose of this paper is to carry out a reliability analysis of a mechanical system considering the degraded states to get a proper understanding of system behavior and its propagation towards complete failure.
Design/methodology/approach
The reliability analysis of computerized numerical control machine tools (CNCMTs) using a multi-state system (MSS) approach that considers various degraded states rather than a binary approach is carried out. The failures of the CNCMT are classified into five states: one fully operational state, three degraded states and one failed state.
Findings
The analysis of failure data collected from the field and tests conducted in the laboratory provided detailed understandings about the quality of the material and its failure behavior used in designing and the capability of the manufacturing system. The present work identified that Class II (major failure) is critical from a maintainability perspective whereas Class III (moderate failure) and Class IV (minor failure) are critical from a reliability perspective.
Research limitations/implications
This research applies to reliability data analysis of systems that consider various degraded states.
Practical implications
MSS reliability analysis approach will help to identify various degraded states of the system that affect the performance and productivity and also to improve system reliability, availability and performance.
Social implications
Industrial system designers recognized that reliability and maintainability is a critical design attribute. Reliability studies using the binary state approach are insufficient and incorrect for the systems with degraded failures states, and such analysis can give incorrect results, and increase the cost. The proposed MSS approach is more suitable for complex systems such as CNCMT rather than the binary-state system approach.
Originality/value
This paper presents a generalized framework MSS's failure and repair data analysis has been developed and applied to a CNCMT.
Keywords
Acknowledgements
This work was supported by SPM Tools, Ichalkaranji, a leading manufacturer of the computerized numerical control turning center. The authors would also like to appreciate Climax Engineering, Ichalkaranji, Sun Auto Components, Jaysingpur, Victor CNC, Ichalkaranji, Aarti Engineering, Jaysingpur and FIE Group, Ichalkaranji, Ichalkaranji, Maharashtra, India for their support and providing required data for reliability and maintainability analysis.
Citation
Patil, R.B., Patil, S.S., Gupta, G. and Bewoor, A.K. (2022), "A generalized model selection framework for multi-state failure data analysis", International Journal of Quality & Reliability Management, Vol. 39 No. 7, pp. 1637-1647. https://doi.org/10.1108/IJQRM-08-2021-0280
Publisher
:Emerald Publishing Limited
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