PSI - Issue 17

Available online at www.sciencedirect.com Structural Int grity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com ScienceDirect

www.elsevier.com/locate/procedia www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 17 (2019) 238–245

ICSI 2019 The 3rd International Conference on Structural Integrity Acoustic Emission-Based Similarity Analysis: A Baseline Convergence Algorithm ICSI 2019 The 3rd International Conference on Structural Integrity Acoustic Emission-Based Similarity Analysis: A Baseline Convergence Algorithm

Andra Gabriela Stancu a *, Linghao Zhou a , Slim Soua a a TWI Ltd, Granta Park, Great Abington, Cambridge, CB21 6AL, United Kingdom Andra Gabriela Stancu a *, Linghao Zhou a , Slim Soua a a TWI Ltd, Granta Park, Great Abington, Cambridge, CB21 6AL, United Kingdom

Abstract Condition monitoring has been widely employed to monitor critical components for drivetrains of machinery, whose malfunctioning will inevitably cause unexpected downtime and an increase of maintenance costs. This paper presents a practical condition monitoring technique, which uses a procedure consisting of a baseline definition process, similarity analysis collated with bathtub curve and maintenance decision-making support to enhance the reliability of the machinery. The proposed condition monitoring procedure features the benefits of being scalable and adaptable to multiple sensory technologies including Vibration, Acoustic Emission and Audible Acoustics. Validation of the convergence methodology is performed on a low-speed rotating mechanism. The outcome defines a process of baseline generation and identification of deviations from normal operating conditions. Abstract Condition monitoring has been widely em loyed to monitor critical components for drivetrains of machinery, whose malfunctioning will inevitably cause u expected downtime and an increase of maintenance costs. This paper resents a practical condition monitoring tec nique, which uses a procedure consisting of a baseline definition process, similarity analysis collated with bathtub curve and maintenance decision-making support to enhance the reliability of the achinery. The proposed condition monitoring procedure features the benefits of being scalable and adaptable to multiple sensory technologies including Vibration, Acoustic Emission and Audible Ac ustics. Validation of the convergence methodology is perf rmed on a low-speed rotating mechanism. The outcome defines a process of baseline generation and identification of deviations from normal operating conditions.

© 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers. © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers. © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers.

Keywords: Condition Monitoring; Similarity Analysis; Baseline; Acoustic Emission; Reliability; Keywords: Condition Monitoring; Similarity Analysis; Baseline; Acoustic Emission; Reliability;

* Tel.: +44-1223-940-406. E-mail address: andra.stancu@twi.co.uk * Tel.: +44-1223-940-406. E-mail address: andra.stancu@twi.co.uk

2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers. 2452-3216 © 2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers.

2452-3216  2019 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the ICSI 2019 organizers. 10.1016/j.prostr.2019.08.032