research-article

Using a fuzzy logic approach for the predictive maintenance of textile machines

Authors: Calin Florin Baban, Marius Baban, Marius Darius SuteuAuthors Info & Claims

Journal of Intelligent & Fuzzy Systems, Volume 30, Issue 2

Pages 999 - 1006

https://doi.org/10.3233/IFS-151822

Published: 01 January 2016 Publication History

Abstract

The state of the textile machines can be evaluated by monitoring different parameters, such as vibration and temperature, so their maintenance can be performed a short time before the failure. However, the evolution of each monitored parameter can conduct to different decisions regarding the maintenance actions. Within this framework, fuzzy logic was proposed for planning the predictive maintenance activities of the textile machines. A fuzzy decision making system was developed and its effectiveness was illustrated for the planning of the predictive maintenance of a sewing machine needle. The results of the case study show fuzzy logic as a proactive approach to perform when needed maintenance activities of textile machines.

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Cited By

Wanner JWissuchek CWelsch GJaniesch C(2023)A Taxonomy and Archetypes of Business Analytics in Smart ManufacturingACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3583581.358358454:1(11-45)Online publication date: 7-Feb-2023
https://dl.acm.org/doi/10.1145/3583581.3583584
Nguyen KMedjaher KTran D(2022)A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelinesArtificial Intelligence Review10.1007/s10462-022-10260-y56:4(3659-3709)Online publication date: 9-Sep-2022
https://dl.acm.org/doi/10.1007/s10462-022-10260-y
Cao WLiu CHan Y(2019)Temporal Dependency Mining from Multi-sensor Event Sequences for Predictive MaintenanceWeb Information Systems and Applications10.1007/978-3-030-30952-7_27(257-269)Online publication date: 20-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30952-7_27
Show More Cited By

Index Terms

Using a fuzzy logic approach for the predictive maintenance of textile machines
1. Applied computing
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology Volume 30, Issue 2

2016

611 pages

ISSN:1064-1246

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IOS Press and the authors. All rights reserved.

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IOS Press

Netherlands

Publication History

Published: 01 January 2016

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Cited By

Wanner JWissuchek CWelsch GJaniesch C(2023)A Taxonomy and Archetypes of Business Analytics in Smart ManufacturingACM SIGMIS Database: the DATABASE for Advances in Information Systems10.1145/3583581.358358454:1(11-45)Online publication date: 7-Feb-2023
https://dl.acm.org/doi/10.1145/3583581.3583584
Nguyen KMedjaher KTran D(2022)A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelinesArtificial Intelligence Review10.1007/s10462-022-10260-y56:4(3659-3709)Online publication date: 9-Sep-2022
https://dl.acm.org/doi/10.1007/s10462-022-10260-y
Cao WLiu CHan Y(2019)Temporal Dependency Mining from Multi-sensor Event Sequences for Predictive MaintenanceWeb Information Systems and Applications10.1007/978-3-030-30952-7_27(257-269)Online publication date: 20-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-30952-7_27
Zhang SLiu CSu SHan YLi X(2018)A feature extraction method for predictive maintenance with time‐lagged correlation–based curve‐registration modelInternational Journal of Network Management10.1002/nem.202528:5Online publication date: 14-Sep-2018
https://dl.acm.org/doi/10.1002/nem.2025
Liao WChen MYang X(2017)Joint optimization of preventive maintenance and production scheduling for parallel machines systemJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-16138532:1(913-923)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/JIFS-161385

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