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Journal article
AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications
Reliability engineering & system safety, Vol.250, 110308
10/2024
Web of Science ID: WOS:001361291000001
Abstract
Design failure modes, effects, and criticality analysis (d-FMECA)22The term FMEA and FMECA are used interchangeably throughout this paper. The user has the option in the interface to choose either FMEA or FMECA based on their desired application. is a bottom-up, semi-quantitative risk assessment approach that is used by reliability engineers across all industries (nuclear, chemical, environmental, pharmaceuticals, aerospace, etc.) for identifying the effects of postulated components failure modes such as solenoid-operated valves (SOV), motor-operated valves (MOV), controllers, pumps, sensors of various types, printed circuit boards (PCBs). This research aims to develop a novel AI-augmented tool that guides, in real-time, the risk-analyst to a host of potential failure modes and their effects for each component contained in a bigger system. Through a user-friendly graphical interface and a robust statistical modeling backend, the AI-driven tool streamlines the risk assessment process by prompting the risk analyst to input a system’s name and subsequently generate an extensive array of failure modes and associated effects for each constituent component within the system. This AI-augmented tool allows the user to select either a simplified d-FMEA or a detailed d-FMECA for the system under investigation. This novel AI-driven tool offers significant effort and time savings in conducting d-FMECA, which is known to be a labor-intensive engineering task. In addition, this tool can be used for training risk and reliability professionals.
•Developed a novel AI-augmented tool to replace conventional d-FMEA approach.•Designed a user-friendly graphical interface & robust statistical modeling backend.•This AI-driven tool offers significant effort & time savings in conducting d-FMECA.•Help train junior reliability engineers to effectively conduct d-FMEA.
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Details
- Title
- AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications
- Publication Details
- Reliability engineering & system safety, Vol.250, 110308
- Resource Type
- Journal article
- Publisher
- Elsevier Ltd
- Copyright
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
- Identifiers
- WOS:001361291000001; 99380581189906600
- Academic Unit
- Mathematics and Statistics
- Language
- English