2020
DOI: 10.3901/jme.2020.16.262
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Discussion on Performance Degradation Assessment of Long-term Storage Equipment

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“…(i) Uncertain process-based models [75,147,148] (ii) Time variant uncertainty distribution model [149] (iii) Uncertain differential equation-based model [150] (iv) Performance and health status margin degradation framework for belief reliability evaluation [151] Metadata with information of lifetime/failure time Data fusion method: consistent belief degree method (data method and constant coefficient of variation method) [79], maximal cross entropy method [152] 3 Similarity fusion method [152] Note the research in existing literature tabulated in Table 4, a significant point is to determine an uncertainty distribution through the small sample data collected by different ways, especially the various data obtained in the whole product developing process, including the simulation and testing in design phase, and the actual operation in use phase. The proposed methods are concentrated on the identification of the belief degree of each data point and the expansion of data set, thus forming a reasonable uncertainty distribution with as much data information as possible for belief reliability evaluation.…”
Section: Y T P P Thmentioning
confidence: 99%
“…(i) Uncertain process-based models [75,147,148] (ii) Time variant uncertainty distribution model [149] (iii) Uncertain differential equation-based model [150] (iv) Performance and health status margin degradation framework for belief reliability evaluation [151] Metadata with information of lifetime/failure time Data fusion method: consistent belief degree method (data method and constant coefficient of variation method) [79], maximal cross entropy method [152] 3 Similarity fusion method [152] Note the research in existing literature tabulated in Table 4, a significant point is to determine an uncertainty distribution through the small sample data collected by different ways, especially the various data obtained in the whole product developing process, including the simulation and testing in design phase, and the actual operation in use phase. The proposed methods are concentrated on the identification of the belief degree of each data point and the expansion of data set, thus forming a reasonable uncertainty distribution with as much data information as possible for belief reliability evaluation.…”
Section: Y T P P Thmentioning
confidence: 99%