What is Predictive Maintenance?

Predictive maintenance, also known as predictive maintenance, uses the analysis of data-based maintenance data to assess the condition of plants and machines. Predictive maintenance forecasts maintenance work in advance. Regular maintenance of equipment aims to avoid unplanned downtime in order to maximise equipment life and reduce operating costs.

How does predictive maintenance work?

Predictive maintenance refers to the use of data-driven maintenance methods that analyse the condition of equipment and machinery and predict when maintenance is required. With the help of data science and predictive analytics, predictive maintenance software uses information to estimate when a failure is likely. This allows appropriate maintenance actions to be planned before a failure occurs. This advanced approach enables effective planning and execution of maintenance to minimise downtime and maintain asset efficiency.

What are the advantages of predictive maintenance?

  1. Reduction of unplanned downtime By monitoring and analysing machine data, potential causes of failure can be detected at an early stage. This allows maintenance work to be planned and unplanned downtime to be avoided. This leads to improved productivity and continuity of production.

  2. Cost savings Predictive maintenance enables optimised use of resources. By scheduling maintenance based on the actual condition of the equipment, unnecessary inspections and preventive maintenance can be avoided. This leads to cost savings in labour, spare parts and downtime.

  3. Extending the life of assets Predictive maintenance allows potential problems to be identified early and rectified before they lead to major damage. This helps to extend the life of machinery and equipment and reduce expensive replacement investments.

  4. Improved safety Potentially dangerous situations can be avoided through regular monitoring and maintenance of equipment. This increases workplace safety and protects employees from injuries or accidents that can be caused by faulty equipment.

  5. Optimisation of maintenance processes Predictive maintenance enables maintenance work to be carried out more efficiently. As maintenance tasks are planned on the basis of real-time data and analyses, they can be carried out in a more targeted and demand-oriented manner. This leads to optimised scheduling of technicians, better availability of spare parts and more efficient maintenance overall.

  6. Improved operational efficiency By reducing downtime, avoiding stoppages and optimising the use of resources, predictive maintenance contributes to improved operational efficiency. Production can run continuously, bottlenecks can be avoided and overall plant performance can be increased.

Do you want to empower your maintenance staff?

The key to efficient & error-free maintenance

With Operations1's Connected Worker Platform, you digitise your processes end-to-end: from securing knowledge, to easy planning and intuitive execution of processes, to analysis and problem resolution. Learn more about Operations1's functional modules here.

Connected Worker Platform by Operations1