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Virtual–real fusion maintainability verification based on adaptive weighting and truncated spot method
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Online publication date: 2022-10-02
 
 
Publication date: 2022-10-02
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(4):738–746
 
HIGHLIGHTS
  • Maintainability test is carried out in virtual–real fusion scenario with lower cost.
  • The error of virtual–real fusion maintainability evaluation is reduced.
  • The weights of real and virtual person test data are adaptively determined.
  • Less time is consumed than the traditional virtual maintainability test.
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ABSTRACT
Maintainability is an important general quality characteristic of products. Insufficient maintainability will lead to long maintenance time and high maintenance cost, thus affecting the availability of products. Maintainability verification is an important means to ensure maintainability meets design requirements. However, the cost of traditional real maintainability verification method is very high, and the virtual maintenance method has insufficient verification accuracy due to the lack of large maintenance force feedback when the human body is moving. In order to reduce the evaluation error and test sample size, the paper conducts maintainability verification based on the mixed physical and virtual maintainability test scenarios. Aiming at the problem that traditional methods are difficult to deal with the real test information and synchronous virtual simulation information in the test process, this study proposes a virtual–real fusion maintainability evaluation algorithm based on adaptive weighting and truncated SPOT (Sequential Posterior Odd Test) method. It can weigh real test information and virtual human simulation information adaptively to obtain a virtual–real fusion maintainability test sample. Then, the SPOT method is used to evaluate the maintainability of small samples. The adjustment of valve clearance, replacement of air filter element and replacement of starting motor maintenance tasks of ship engine are taken as examples for demonstration. The virtual–real fusion and virtual maintainability verification methods are respectively used for verification, and compared with the physical maintenance scenario constructed by 3D printing, indicating that the accuracy of virtual–real fusion maintainability test verification is 89%, while the virtual maintainability verification is only 33%.
 
CITATIONS (1):
1.
A New Approach to Production Process Capability Assessment for Non-Normal Data
Anna Borucka, Edward Kozłowski, Katarzyna Antosz, Rafał Parczewski
Applied Sciences
 
eISSN:2956-3860
ISSN:1507-2711