A process-guided uncertainty-aware deep learning framework for reliable and interpretable industrial fault diagnosis

• Babar Hayat,

  Roles Conceptualization, Methodology, Software, Writing – original draft

  Affiliation School of Information Engineering, Xi’an Eurasia University, Xi’an, Shaanxi, China

  https://orcid.org/0009-0005-7406-8424

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• Shabeer Ahmad,

  Roles Formal analysis, Investigation

  Affiliation School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China

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• Muhammad Asfandyar Shahid,

  Roles Project administration, Resources, Supervision

  Affiliation School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

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• Adil Khan,

  Roles Data curation, Writing – review & editing

  Affiliation School of Information Engineering, Xi’an Eurasia University, Xi’an, Shaanxi, China

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• Md. Rajibul Islam,

  Roles Validation, Writing – review & editing

  Affiliation Department of Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh

  https://orcid.org/0000-0003-0565-6917

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• Md Shohel Sayeed ,

  Roles Funding acquisition, Writing – review & editing

  * E-mail: shohel.sayeed@mmu.edu.my

  Affiliation Centre for Intelligent Cloud Computing, CoE for Advanced Cloud, Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, Malaysia

  https://orcid.org/0000-0002-0052-4870

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• Yasir Ullah

  Roles Validation, Writing – review & editing

  Affiliation Centre for Wireless Technology, Faculty of AI and Engineering, Multimedia University, Cyberjaya, Selangor, Malaysia

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