The right path for predictive maintenance strategy implementation


Thursday, April 29, 2021


12:00 PM Europe/Warsaw

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Novel methods like big data analysis and machine learning enable the rapid development of condition monitoring and failure prediction. Preventive maintenance (run to failure) is being replaced by a predictive approach, which makes it possible to monitor machines efficiently and predict unwanted events.

Why is predictive maintenance becoming more and more popular? Because it: 

  • provides real-time information on the health of machines and anticipates potential future failures in advance  
  • maximizes machine uptime and reduces unplanned downtime 
  • protects from the long-term consequences of failures and unplanned downtime: delays in the orders management, loss of raw materials or semi-finished products 
  • increases safety and reduces the number of accidents 
  • reduces maintenance costs and reduces energy consumption 
  • increases production efficiency and improves the quality of final products.

During our webinar, you will learn how to plan the implementation of a PdM strategy step by step, what information and data are needed for implementation, and what benefits the implementation of predictive maintenance brings to companies.

In which companies is the predictive maintenance strategy best suited and on what devices? How to prepare for the implementation of a PdM solution?

We invite you to take part in the meeting!


ReliaSol is a best in class AI-based Predictive Maintenance Company. We optimize total plant operations for sustainable and efficient growth that benefits all stakeholders. Responding to the needs of innovative companies, the company provides solutions for data analysis based on artificial intelligence with a focus on predictive and prescriptive analytics that help to prevent failures, improve operational excellence in the industry and obtain long term financial benefits. ReliaSol is the creator of the RSIMS system, a Predictive Maintenance solution, which takes advantage of artificial intelligence mechanisms to predict failures and other adverse events in production plants.


 *The data controller is Reliability Solutions sp.z o.o. with headquarters in Krakow, ul. Kr√≥lewska 57. If you want to attend to the free webinar, fill in the form and select the checkbox and then press "register". Providing data and giving consent is voluntary, but it is the equivalent of payment for participation in a paid event. You can withdraw your consent at any time as described below. If you want to use a paid form of training, i.e. without expressing marketing consent - contact us marketing@reliasol.ai. The data will be processed in order to prepare and conduct a webinar (legal basis: Article 6 (1) (b) of the GDPR, i.e. the provision of the service as well as for direct marketing based on the consent granted (Article 6 (1) (a) of the GDPR), carried out by sending mailing (see article 10 of the act on providing services by electronic means) or by telephone contact (Article 172 of the telecommunications law). You can withdraw your consent by sending such a request to the e-mail address: marketing@reliasol.ai. You have the right to access data, including obtaining a copy of the data, the right to transfer data, the right to rectify and delete data, limit processing and object. You have the right to lodge a complaint with the supervisory body (the President of the Office for Personal Data Protection). More: privacy policy.  

Dariusz Broda

Implementation specialist, project manager at ReliaSol. Responsible for the effective implementation of PdM systems.

Bartosz Kania

Project Manager, at ReliaSol responsible for the proper implementation of PdM solutions.