Condition-Based Maintenance using Sensor Arrays and Telematics

TL;DR

This paper discusses how real-time sensor data and telematics enable predictive analytics for condition-based maintenance, improving operational efficiency and preventing failures.

Contribution

It introduces a comprehensive approach combining sensor arrays, telematics, and predictive analytics for effective condition-based maintenance.

Findings

Enhanced real-time monitoring capabilities

Improved predictive maintenance accuracy

Potential reduction in operational costs

Abstract

Emergence of uniquely addressable embeddable devices has raised the bar on Telematics capabilities. Though the technology itself is not new, its application has been quite limited until now. Sensor based telematics technologies generate volumes of data that are orders of magnitude larger than what operators have dealt with previously. Real-time big data computation capabilities have opened the flood gates for creating new predictive analytics capabilities into an otherwise simple data log systems, enabling real-time control and monitoring to take preventive action in case of any anomalies. Condition-based-maintenance, usage-based-insurance, smart metering and demand-based load generation etc. are some of the predictive analytics use cases for Telematics. This paper presents the approach of condition-based maintenance using real-time sensor monitoring, Telematics and predictive data analytics.