SigmaStream's Pragmatic Approach to Predictive Maintenance

Introduction

Predictive Maintenance (PdM) is a technique that uses data analysis and machine learning to monitor the condition of equipment and predict when it will need maintenance. PdM can help reduce downtime, improve efficiency, and optimize resources. However, implementing PdM is not a straightforward task, as it requires a clear understanding of the business objectives, the data sources, the algorithms, and the deployment strategies. In this paper, we outline a framework for how SigmaStream's implementation of PdM is a pragmatic approach that addresses the challenges and opportunities of PdM in various industries.

Framework

Conclusion