Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques
Ida Hector1, Rukmani Panjanathan1
1School of Computer Science and Engineering, Vellore Institute of Technology Chennai, Chennai, Tamil Nadu, India.
Peerj. Computer Science
|June 10, 2024
Summary
Industrial equipment downtime is a major concern, making traditional maintenance methods insufficient. This study explores Internet of Things (IoT)-enabled Predictive Maintenance (PdM) as a proactive solution to detect and prevent failures, optimizing asset management.
Area of Science:
- Engineering
- Computer Science
- Data Science
Background:
- Reactive maintenance is inadequate for modern industrial needs, leading to significant downtime and operational inefficiencies.
- There is a growing demand for optimized asset management and reduced maintenance costs across various global sectors.
- Proactive strategies are essential for detecting potential equipment failures before they occur.
Purpose of the Study:
- To highlight the transformative potential of Internet of Things (IoT)-enabled Predictive Maintenance (PdM) across diverse industries.
- To provide a comprehensive overview of the development and implementation of efficient PdM solutions.
- To analyze current information and approaches for optimizing maintenance strategies and enhancing operational efficiency.
Main Methods:
- Literature review of existing research and methodologies in Predictive Maintenance.
- Analysis of essential stages in PdM application: design factors, data preparation, feature selection, and decision modeling.
- Exploration of various Machine Learning (ML) models and condition monitoring techniques.
Main Results:
- IoT-enabled PdM offers a revolutionary approach to predict and mitigate equipment failures.
- The study outlines key steps for developing and implementing effective PdM systems.
- Insights into optimizing maintenance and improving operational efficiency through advanced analytics.
Conclusions:
- Continuous research and development in PdM are crucial for enhancing maintenance plans.
- Integrating IoT, Artificial Intelligence (AI), and advanced analytics significantly boosts PdM capabilities.
- Enhanced PdM adoption is vital for maintaining industrial competitiveness in the global economy.
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