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Risk evaluation by FMEA of supercritical water gasification system using multi-granular linguistic distribution assessment

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成果类型:
期刊论文
作者:
Nie Ru-xin;Tian Zhang-peng;Wang Xiao-kang*;Wang Jian-qiang;Wang Tie-li
通讯作者:
Wang Xiao-kang
作者机构:
[Wang Xiao-kang; Wang Jian-qiang; Tian Zhang-peng; Nie Ru-xin] Cent S Univ, Sch Business, Changsha 410083, Peoples R China.
[Wang Tie-li] Univ South China, Sch Management, Hengyang 421001, Peoples R China.
通讯机构:
[Wang Xiao-kang] C
Cent S Univ, Sch Business, Changsha 410083, Peoples R China.
语种:
英文
关键词:
Best-worst method;Complex proportional assessment;Failure mode and effects analysis;Linguistic distribution assessment;Multi-granular linguistic
期刊:
Knowledge-Based Systems
ISSN:
0950-7051
年:
2018
卷:
162
页码:
185-201
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [71571193]
机构署名:
本校为其他机构
摘要:
The sustainability challenge is increasingly driving the adoption of supercritical water gasification (SCWG) technology to ensure the elimination and recovery of pollution produced by sewage sludge treatment (SST). Risk evaluation by failure mode and effects analysis (FMEA) plays a crucial role in guaranteeing the reliability and safety of SCWG systems. However, some limitations in existing FMEA methods need to be ameliorated. Multiple risk factors are involved in prioritizing risk levels for failure modes in SCWG systems, it is essential a multiple criteria decision making (MCDM) process, in ...

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