Colin Bell
Concepts of self-repairing systems
Bell, Colin; McWilliam, Richard; Purvis, Alan; Tiwari, Ashutosh
Authors
Abstract
Systems fail. Period. No matter how much planning and fault analysis is performed, it is impossible to create a perfectly reliable machine. The existing approach to improving reliability invariably involves advances in fault prediction and detection to include specific mechanisms to overcome a particular failure or mitigate its effect. While this has gone a long way in increasing the operational life of a machine, the overall complexity of systems has improved sharply, and it is becoming more and more difficult to predict and account for all possible failure modes. What is discussed here is a possible shift in approach from specific repair strategies to autonomous self-repair. Rather than focusing on mitigating or reducing the probability of failure, the focus is instead on what can be done to correct a failure that will invariably occur at some point during operation. By taking this approach, it is not just expected failure that can be designed for, unexpected failure modes are also inherently compensated for, extending the potential life of a system and reducing the need for through-life servicing.
Citation
Bell, C., McWilliam, R., Purvis, A., & Tiwari, A. (2013). Concepts of self-repairing systems. Measurement and Control, 46(6), 176-179. https://doi.org/10.1177/0020294013492285
Journal Article Type | Article |
---|---|
Publication Date | Jul 1, 2013 |
Deposit Date | Jun 4, 2015 |
Publicly Available Date | Jun 8, 2015 |
Journal | Measurement and Control |
Print ISSN | 0020-2940 |
Electronic ISSN | 2051-8730 |
Publisher | SAGE Publications |
Peer Reviewed | Peer Reviewed |
Volume | 46 |
Issue | 6 |
Pages | 176-179 |
DOI | https://doi.org/10.1177/0020294013492285 |
Public URL | https://durham-repository.worktribe.com/output/1406945 |
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Copyright Statement
Bell, Colin and McWilliam, Richard and Purvis, Alan and Tiwari, Ashutosh (2013) 'Concepts of self-repairing systems.', Measurement and control., 46 (6). pp. 176-179. Copyright © The Institute of Measurement and Control 2013. Reprinted by permission of SAGE Publications.
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