Computational Intelligent Security in Wireless Communications

5 Predictive Maintenance in Industry 4.0

Manoj Devare

DOI: 10.1201/9781003323426-5

Contents

5.1 Introduction

5.2 Related Work

5.3 Materials and Methods

5.3.1 Data Set

5.3.2 Data Insights

5.3.3 Outlier Detection

5.4 ML Model Evaluation Metrics

5.5 Results with the Multinomial Naïve Bayes Algorithm

5.6 Markov Chain

5.7 Weibull Process for Predictive Maintenance

5.8 Discussion and Conclusion

References

5.1 Introduction

The high availability of equipment is a requirement to save time and money in the manufacturing industry. The reduction in unexpected failure due to prediction of the failure states is the core expectation in predictive maintenance (PdM). Automation industry expects intelligent solutions based on an amalgamation of machine learning ...