Condition Based Maintenance

Condition Based Maintenance

What is Condition Based Maintenance in rail?

Condition Based Maintenance (CBM) is a strategy for undertaking maintenance tasks based on the actual condition of a system or component, rather than following a fixed window or mileage-based regime.  It makes use of data provided by systems and components, such as monitoring information. 

It is an evolvement in maintenance maturity that can deliver:

  • Increased asset availability
  • Improved reliability
  • Faster problem diagnosis
  • Reduced maintenance costs

By adopting CBM, your maintenance teams can use the lead time to plan interventions when they are required - such as prioritising a pending failure - and therefore use resources more efficiently.

How we will help you

Moving from a ‘classical’ maintenance approach - such as Reactive and Preventive - to CBM requires a combination of operational knowledge and experience in condition monitoring and data management workflows.

Whether for fleet management or track infrastructure, we'll help you determine current asset maturity levels and organisational processes, then guide you through defining your strategy, objectives and development roadmap, implementation of hardware and software, and the introduction of a validation regime.

Developing a strategy: for organisations in the early stages of the process, our experts can help you define your reasons for implementing CBM and produce a well-substantiated business case that sets out the benefits, timescales, technology investments and resourcing requirements.

Implementation framework: Using Ricardo’s proprietary CBM framework, we will help you map required actions over five distinct implementation stages, from defining roles and responsibilities through to implementation, training, process integration and ongoing evaluation.

Continuous improvement: We will help you to analyse feedback from across the organisation to introduce improvements at both tactical and operational levels. This helps to secure benefits over the long-term.

Benefits of working with Ricardo

We know how railways operate around-the-clock to deliver the highest possible service levels. Which means we have extensive experience in delivering major change projects without disruption to day-to-day responsibilities.

In addition, our system enginnering experts provide in-depth technical knowledge on system design, characteristics and failure modes necessary for acquiring the right set of data and information from your systems.

Above all, we’ll ensure you and your teams never lose sight of your original objectives for introducing CBM and help you to implement the proportionate and appropriate approach for your organisation.

Going further with Predictive Maintenance

Predictive Maintenance (PdM) is a strategy for performing maintenance based on a predicted failure pattern or characteristic of a system component.

Predictive Maintenance can be seen as an evolvement from a Condition Based approach, however it is only possible for a limited number of systems and components as it requires a thorough understanding of failure patterns and a high-level of predictability of remaining asset life.

But when combined with CBM, Predictive Maintenance can deliver further cost savings and higher levels of availability.

Our experts will help you identify the most suitable strategy and roadmap for your assets based on system’ capabilities and characteristics, current maturity levels and maintenance resources, to achieve the best maturity level possible.

What are the benefits of CBM and Predictive Maintenance?

  • Prevention of (unexpected) failures in operation and improvement of operational availability of your fleet
  • Reduction of manual inspections tasks and associated costs
  • Higher predictability of maintenance tasks
  • Higher utilisation of systems’ and components’ useful remaining life
  • Accurate insight in current state of systems and components
  • Reduction of Mean Time To Repair (MTTR) in corrective maintenance by improved fault finding and reduced administrative and technical delays
  • Application of the latest maintenance models, including Risk-Based Reliability Centred Maintenance (RCM3)
  • Future scalability