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Comprehensive health assessment of faulty and repaired linear axis components through multi-sensor monitoring

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Abstract

Modern manufacturing machinery is often pushed beyond its operational limits, leading to the degradation and failure of critical subsystems, including the linear axis. This paper presents a comprehensive health assessment study that evaluates the root cause failure faults (FFs) of linear axis components against an established system baseline. The study further enhances the health assessment by comparing the system’s repaired state to the baseline data. Each FF was artificially introduced into its respective component in the linear axis. After evaluation, the FFs were carefully repaired by following industrial practices related to the maintenance of the affected component. Our findings reveal that the most frequently occurring FF can be readily detected via the system’s internal data, and the repaired state of the evaluated FFs exhibited a percentage error of less than 10% when compared to the healthy state. This study highlights the importance of understanding how root cause FFs impact the system operation and provides valuable insights for maintaining nominal machine performance after repair.

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Data availability

The data generated for the presented study is available upon reasonable request.

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Funding

The authors gratefully acknowledge the financial support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC) under the CANRIMT Strategic Research Network Grant NETGP 479639-15.

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Authors and Affiliations

  1. McMaster Manufacturing Research Institute (MMRI), Department of Mechanical Engineering, McMaster University, 230 Longwood Rd S, Hamilton, ON, L8P0A6, Canada

    Andres Hurtado Carreon, Jose Mario DePaiva & Stephen C. Veldhuis

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  1. Andres Hurtado Carreon
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  2. Jose Mario DePaiva
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Contributions

Andres Hurtado Carreon designed and conducted all experiments, collected and analyzed the data, and wrote the manuscript. Jose Mario DePaiva assisted with the writing and editing of the manuscript. Stephen C. Veldhuis funded and supervised the research project.

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Correspondence to Andres Hurtado Carreon.

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Hurtado Carreon, A., DePaiva, J.M. & Veldhuis, S.C. Comprehensive health assessment of faulty and repaired linear axis components through multi-sensor monitoring. Int J Adv Manuf Technol (2024). https://doi.org/10.1007/s00170-024-13707-4

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