Condition-based maintenance (CBM) seeks to implement a policy wherein maintenance management decisions are based on the identification of the current condition of monitored machinery. It involves not only collecting data but also comparing them with reference values and, if necessary generating alerts based on preset operational limits. This approach is adopted by a system responsible for monit...

Today, real-time fault detection and predictive maintenance based on sensor data are actively introduced in various areas such as manufacturing, aircraft, power system monitoring. Many faults motors or rotating machinery like industrial robots, aircraft engines, wind turbines can be diagnosed by analyzing signal vibration noise. In this study, to detect failures data, preprocessing was performe...

Current railway track work machinery is mainly operated with diesel fuel. As a result, maintenance of Austrian Federal Railways (OeBB) amounts to nearly 9000 t CO2 equivalent per year according calculations from Graz University Technology. OeBB’s total length lines only accounts for 0.56% the world’s lines. This indicates huge potential mitigating greenhouse gas emissions considering need world...

The goal of quality and reliability systems is the same-to achieve customer satisfaction. Quality and reliability are synonymous. A system cannot be reliable if it does not have high quality. Likewise, a system cannot be of high quality if it is not reliable. The quality performance of a firm is often assessed by the reliability of the firm's equipment or machinery. If a system is unreliable, i...

Condition Monitoring is an advanced and very useful tool of predictive maintenance techniques. It has made good progress in recent years in identifying many types of deterioration in plant machinery, so that pro-active maintenance can be performed, improving overall plant productivity. There is a wide variety of condition monitoring techniques currently in use for the diagnosis and prediction o...

Improper and unnecessary maintenance actions can result in a waste of resources, time, and money. Training and education play an important role in the successful implementation of a maintenance strategy. The Center for Predictive Maintenance (CPM) at the University of South Carolina has developed a demonstration methodology and tool that can be used to educate and train users extending from mai...

A Pilot for Proactive Maintenance in Industry 4.0 Luis Lino Ferreira, Michele Albano, José Silva, Diogo Martinho, Goreti Marreiros, Giovanni di Orio, Pedro Maló, Hugo Ferreira ISEP, School of Engineering, Polytechnic Institute of Porto, Portugal CTS, UNINOVA, Dep. De Eng. Electrotécnica, FCT-UNL, Portugal 3 INESC TEC, INESC Technology and Science, Portugal Abstract — The reliability and safety ...