Whitepaper: Condition-based maintenance reduces maintenance costs and increases availability in transportation assets
Posted: 22 November 2018 | OSIsoft | No comments yet
Digital technologies like IoT, cloud services and advanced analytics are disrupting the design and management of transportation assets. Yet, many organisations still struggle to harness transportation data to improve operations of mobile assets…
For industrial, municipal and transit organisations, the pressure to ensure safety while maintaining high quality service and reducing costs are forcing managers to consider how to capitalise on digital strategies.
One way owner-operators, fleet and asset managers are responding is to focus on more efficient, data driven maintenance programs. It is estimated that more than $1 trillion is spent each year replacing perfectly good equipment in the US alone. A growing number of operators are considering adopting condition-based maintenance (CBM) and other proactive strategies that are driven by actual asset conditions rather than calendar- or use-based maintenance schedules. CBM has already been proven to lower costs by eliminating unnecessary maintenance, reducing unexpected failures and reducing downtime.
The advantages of creating a digital infrastructure to implement CBM run far beyond lowering maintenance costs. By tracking asset health in real-time and avoiding unexpected equipment failures, CBM can play a critical role in ensuring overall fleet availability, reducing the cost of downtime and meeting regulatory requirements. Linking real-time equipment conditions with popular EAM systems, such as SAP® PM and IBM® Maximo®, CBM programs can also help extend the value of operational data by integrating it with business environments, for example, to manage parts inventory, equipment lifecycle and inform capital investment strategies.
This white paper will look at the forces that are driving demand for more proactive maintenance strategies of transportation assets and infrastructure. Next, it will examine how CBM works, and how it offers a more efficient and effective alternative to planned maintenance methodologies. Finally, this paper will look at how industries are benefiting from CBM enabled by OSIsoft’s PI System™, an infrastructure for collecting and managing historical and real-time data from both fixed and mobile assets, to create a comprehensive, environment for the collection, management, analysis and presentation of data essential to supporting CBM for transportation assets.
NEW REPORT FROM GLOBAL RAILWAY REVIEW: Track Insight – Track Maintenance | Transforming Track Maintenance Through Technology
Our latest expert-led Track Insight explores how industry leaders are revolutionising the future of track maintenance through cutting-edge innovation and real-world strategies.
From automation and robotics now streamlining inspections and repairs, to predictive maintenance powered by IoT sensors and advanced analytics, the rail sector is entering a new era of precision and efficiency. Companies like Goldschmidt, Bentley Systems, and MxV Rail are leading the charge, redefining how infrastructure is managed with AI, machine learning, and digital twins to reduce downtime and extend asset life.
In this new data-rich landscape, organisations such as Amtrak and the Rail Accident Investigation Branch are demonstrating how to turn vast streams of information—from track geometry to environmental monitoring into actionable intelligence for safer, smarter networks.
Download this insightful, practical guide for FREE and see how your operations can evolve – READ FOR FREE NOW!
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Digitalisation, Infrastructure Developments, Real-Time Passenger Information (RTPI), Regulation & Legislation, Safety, Technology & Software