Performance & Predictive Maintenance, Fault Finding & Problem Solving


Actioning a Fix before the Fault has a Significant Impact On Operations

Predictive Maintenance

As we move into the digital age of information at your fingertips, visual access to real-time data will allow us to immediately identify components that a specific problem relates to and pass the requirement directly onto the maintainers so that they can communicate with suppliers. This significantly reduces the time taken to action a fix and the chances of a fault having a significant impact on operations.


The definition of a fault can come in many forms, from a member of the public, a worker or the internet of things sensor. It is not always easy to see where these are or how they connect to a failure or loss of service. PAULEY have created a unique dynamic digital schematic tool that allows you to access information at the point of need, facilitating an interconnected collaborative use of data and improving accuracy and efficiencies in your fault-finding processes.



"24 % of enterprises implementing IoT projects are using digital twins, or digital representations of a real-world entity or system. Today this is mostly being used for predictive maintenance" Gartner.com Source





CASE STUDY: Eurostar Dynamic Schematics

The Dynamics Schematics created for Eurostar allowed engineers to learn the functionality of electric schematic diagrams within the train’s power and communication components. Through the interactive and visual feedback of opening and closing circuit switches it gave them a far greater understanding of the equipment.







Performance Based Maintenance (PBM) & Fault Finding

The starting point for any business is the definition and prioritisation of your data. In most companies this data resides in an individual’s knowledge, separate unconnected databases, or a range of standards. The PBM principles bring these together through the digitisation of paper-based systems and processes, to facilitate the correct data being available at the right time, to the right person in the right location. This enables a technician or a maintainer to automatically capture data against activites, tasks, location, and competency level. At the touch of a button, the engineer can choose to accept the work undertaken as well as see any impacts on connected systems. Data can be managed locally from a regional or asset base. The system captures an individual’s activities and converts this into corporate knowledge that ultimately allows a company to move from a standards-based approach to a performance-based maintenance approach.

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