PdM Key Principles

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Predictive Maintenance - Key principles

When starting any initiative there are often some key principles that are worth understanding and considering up front to try and maximise your chances of success.

Often these principles are based upon common sense and are applicable to situations beyond Predictive Maintenance.

Key principles identified by successful PdM implementations

  • Identify the maintenance challenges you want to address
  • Assess how easy or difficult it might be to tackle those challenges
  • Quantify the impact of these challenges in terms of £, people, time, etc.
  • Prioritise the challenges based on impact and “do-ability”
  • Assess your current maintenance approach against the Reactive -> Preventive -> Predictive maintenance maturity levels.
  • Understand where PdM is different and what it could bring to your organisation
  • Understand the role Computerised Maintenance Management System (CMMS) and inter-operability may have across your asset
  • Begin with a pilot initiative e.g. a single component, a single process. Identify assets to which PdM could be applied (e.g. medium-high criticality)
  • Communicate the successes and the failures – both are opportunities to learn and are of value to the overall programme
  • Identify the data sets you think you will need across your target process(es)
  • Understand what data is created and/or used across your target process(es)
  • Understand how accessible those data sets are
  • Understand how, if at all, those data sets are currently used
  • Identify the key stakeholder groups across your organisation e.g. Operations, Engineering, Maintenance, IT, Senior Management / Board
  • Get them on board with what you are trying to do and why
  • Involve representatives of all the key groups in your pilot