ABSTRACT
Vibration monitoring as a part of preventive/predictive maintenance programs assists in achieving the main goal, and has proven to be highly cost-effective. The core of machine vibration monitoring schemes consists of appropriately selected and strategically located transducers for capturing machine vibration and process data. Advancements in electronics have considerably improved data management systems. A new generation of electronic transducers, and computers with their large memories, fast processor speeds, high quality graphics, standard communication links, and advanced software, based on intimate knowledge of solid/fluid dynamics and thermodynamics, provide the capability to extract reliable and meaningful information from an increased volume of data in given amounts of time and budget. Vibration and machine process data presented in convenient crosscorrelated formats permit effective and reliable evaluation of machinery health, give early warning of impending failures, and allow determination of the cause of malfunctions. Machine faults, detected early enough, can be monitored closely to ensure that significant damage is avoided, and that the machine is operated safely until the maintenance can be
Machinery health diagnostics is the science and art of identifying malfunctions based on machine information organized in various graphical formats. Diagnostic extension, prognostics, is the ability to forecast the future condition of the machine, based on its current operating condition.
