3S1: Why Condition Monitoring is so important in the digital era

Francisco Ballesteros, Director, Preditec

Description

The world is moving ahead due to ideas or concepts in fashion, like Safety, Energy Efficiency, Asset Management and now Industry 4.0. In the last decade of last century, condition monitoring developed mainly because some new highly interested about technology engineers invested in “magic” devices that could help for machinery diagnosis. From a few years ago, everything changed because companies’ management took their responsibility on asset management.  Now Condition Monitoring seems to be important because this concept is part of Industry 4.0 wave, but Condition Monitoring should be important because it is essential for maintenance optimization as established in ISO 55001 standard.

New concepts like Integration, Machine Learning, IIoT, Cloud, Remote Monitoring &Automatic Diagnostics… have been included as users demands as if it were completely brand new concepts but the truth is that some of them had been running in some markets for years, so there is a real background to be exploited. In a few years, Condition Monitoring will be expanded for general use, unmanned and reliable.

Bio

Mechanical Engineer from the Polytechnic University of Valencia (Spain). Professor of the Mobius Institute, collaborator in two Masters of Maintenance in the universities of Seville and the Polytechnic of Catalonia and in other courses for Industry. Predictive Vibration Analyst Category III (ISO18436-2) and CRL. He has worked in the area of predictive maintenance since 1997, where he has developed diagnostic work, design of monitoring systems, implementation of the predictive strategy in industrial plants and training from companies like SKF, BKVibro and Preditec. He has carried out projects in collaboration with the main companies in the electrical, petrochemical, paper, cement, metalworking and other sectors … He has also participated as a speaker in several national and international industrial maintenance conferences such as IMC (USA), PRECONLUB (Mexico), Reliability 2.0 (USA), Lubmat, AEM, AEC.