A Bayesian FMEA-Based Method for Critical Fault Identification in Stacker-Automated Stereoscopic Warehouses

A Bayesian FMEA-Based Method for Critical Fault Identification in Stacker-Automated Stereoscopic Warehouses

This study proposes a Bayesian failure mode and effects analysis (FMEA)-based method for identifying critical faults and guiding maintenance decisions in stacker-automated stereoscopic warehouses, addressing the limited research on whole-machine systems and the interactions among fault modes. First,...

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Bibliographic Details
Main Authors: Xinyue Ma, Mengyao Gu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
stacker-automated stereoscopic warehouse
critical fault identification
maintenance decision-making
Bayesian FMEA
Online Access:https://www.mdpi.com/2075-1702/13/3/242
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https://www.mdpi.com/2075-1702/13/3/242

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