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March 4, 2024ElectronicsOpen Access

Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0

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Authors

TJTojo Valisoa Andrianandrianina JohanesaLELucas EqueterSMSidi Ahmed Mahmoudi

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Overview

Survey highlights the role of AI in enhancing product quality control and predictive maintenance in Industry 4.0.

Key Points

  • Enhancing product quality control and predictive maintenance through AI applications is crucial for Industry 4.0.
  • The survey presents key metrics from experiments using machine learning models on two datasets to analyze application effectiveness.
  • Assessment involved deploying various AI models to improve data analysis, enabling better decision-making in production processes in a modern industrial setting. This includes identifying optimal deployment strategies for industry needs and challenges in integration and adaptation of AI technologies to existing frameworks, enhancing overall operational efficiency and reliability.

Cite This Study

Johanesa et al. (2024) studied this question.

synapsesocial.com/papers/68e75b3db6db6435876d2f36https://doi.org/10.3390/electronics13050976
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1ARTIFICIAL INTELLIGENCE FOR PREDICTIVE QUALITYIN INDUSTRIAL PROCESS CONTROL: A COMPREHENSIVE REVIEW2026
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  4. 4Predictive Maintenance in Industrial Automation and Smart Manufacturing Applications using Artificial Intelligence2023 · 2 citations
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