Process Plant Reliability through Infra Red Thermography

摘要

A high level of automation characterizes modern industries deploying complex sophisticated machines to achieve higher productivity and profits. This is possible only by maintaining the machines remain in operation. The cost of lost production can be extremely high when equipment breakdown lead to unplanned stoppage of the plant. A better equipment condition monitoring system minimizes the down time, Condition based maintenance has become widespread as a critical element in management strategies of companies operating machinery all over the world. The prediction of imminent faults/failures is essential in fault diagnosis of any system. The progress on reliability improvement had been significant in the last decade, the industries have realized the benefits of using modern technologies and data bases in their reliability improvement programme. In the quest for early detection infrared thermography evolved and today industries placed a great emphasis on infrared thermography and its advancements for both health monitoring and diagnostics of machines. This paper discusses a comprehensive view of thermographic techniques and also provides thermal images of various equipment components in process industry are analyzed to reveal the existence and locate the position of anomalies to achieve higher reliability.