Duan-Yan Wang

ORCID: 0000-0001-5611-3467
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About
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Research Areas
  • Machine Fault Diagnosis Techniques
  • Manufacturing Process and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Optimization and Packing Problems
  • Advanced Statistical Process Monitoring
  • Fault Detection and Control Systems

Jiangsu University of Science and Technology
2023-2024

The current assembly process of marine diesel engines is low in intelligence and the control chart pattern classifier with unstable performance, which makes it difficult to identify quality pattern. This paper proposes a new diagram recognition method based on an adaptive decision model address these problems. Through characteristics changes engine analyses, triangular norm used fuse extracted shape features statistical reduce influence data fluctuation imbalance recognition. An fusion...

10.1177/09544054241227993 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2024-01-30

Currently, manufacturing enterprises lack strict regulations and plans for complex products. The actual assembly path mainly relies on technicians’ experience, leading to an unreasonable each part at the workstation, transportation across problem of mutual interference between parts. To solve these problems, this paper studies planning technology products based basic geometric features sequence information. complexity is reduced by converting into a disassembly problem. direction distance...

10.1177/09544054231203069 article EN Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture 2023-11-03
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