A Case Study for Problem-based Learning Education in Fault Diagnosis Assessment. Issue 3 (2020)

• Record Type: Journal Article
• Authors: Barbieri, Giacomo; Sanchez-Londoño, David; Cattaneo, Laura; Fumagalli, Luca; Romero, David
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 3(2020)
• Page Start: 107
• Page End: 112
• Publication Date: 2020
• Subjects: Engineering Education -- Maintenance Engineering -- Fault Diagnosis Assessment -- Condition-based Maintenance -- Predictive Maintenance -- Problem-based Learning -- Industry 4.0; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.11.017
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The use of Condition-based Predictive Maintenance (CBPdM) has grown significantly due to the Industry 4.0 movement and to the advancements in data acquisition, gathering, storing and analytics. In modern maintenance engineering education, there is the need to include CBPdM alongside with traditional maintenance approaches. Within this paper, a case study is proposed for education in Fault Diagnosis Assessment (FDA) using the Problem-based Learning (PBL) approach. Following a PBL approach, the proposed case study consists of a 'close-to-real-life' problem and allows the implementation of most of the steps of FDA, and the assessment of the answer through objective metrics. We hope that this work may impulse the production of more educational case studies within the topic of CBPdM.