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Application of soft sensors and ant colony optimiation for monitoring and managing defects in the automation industry

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Abstract

In modern industrial processes, various types of soft sensors are used in process monitoring, control, and optimization, and the soft sensors designed to maintain or update these models are highly desirable in the industry. This paper proposes a novel technique for monitoring and control optimization of soft sensors in automation industry for fault detection. The fault detection has been carried out using probabilistic multi-layer Fourier transform perceptron (PMLFTP), and the input data has been pre-processed for removal of samples containing null values for fault detection and diagnosis process through Fourier transform–based detection and multi-layer perceptron–based diagnosis in the manufacturing process. The controlling of data in soft sensors has been optimized using auto-regression-based ant colony optimization (AR_ACO), and the experimental results have been reported in terms of computational rate of 40%, QoS of 78%, RMSE of 45%, fault detection rate of 90%, and control optimization of 93%.

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Authors and Affiliations

  1. Independent Researcher, Thailand, Thailand

    Wongchai A

  2. Department of Pharmaceutics, College of Pharmacy, Umm Al-Qura University, Makkah, 21955, Saudi Arabia

    Mohammed A. S. Abourehab

  3. Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Minia University, Minia, 61519, Egypt

    Mohammed A. S. Abourehab

  4. Department of Computer Engineering, College of Computer Engineering & Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia

    Mohammed Altaf Ahmed

  5. SAS Research and Development, Pune, India

    Saibal Dutta

  6. Department of CSE, Guru Nanak Institution Technical Campus, Ibrahimpatnam, Hyderabad, India

    Koduganti Venkatrao

  7. Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), Research Institute, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia

    Kashif Irshad

  8. K.A.CARE Energy Research & Innovation Center, Dhahran, Saudi Arabia

    Kashif Irshad

Authors
  1. Wongchai A
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  2. Mohammed A. S. Abourehab
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  5. Koduganti Venkatrao
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Contributions

Wongchai A: conceived and design the analysis. Mohammed A.S. Abourehab: editing and figure design, investigation. Mohammed Altaf Ahmed: methodology, writing—original draft preparation, collecting the data. Saibal Dutta: contributed data and analysis stools, performed and analysis, software, validation. Koduganti Venkatrao: visualization, conception and design of study, conceptualization, wrote the paper. Kashif Irshad: funding acquisition, investigation, project administration, supervision, writing—review and editing.

Corresponding author

Correspondence to Wongchai A.

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Wongchai A, Abourehab, M.A.S., Ahmed, M.A. et al. Application of soft sensors and ant colony optimiation for monitoring and managing defects in the automation industry. Int J Adv Manuf Technol (2023). https://doi.org/10.1007/s00170-022-10753-8

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  • DOI: https://doi.org/10.1007/s00170-022-10753-8

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