Open AccessPlant using Vibration Analysis
Author(s) -
Dhiren Panda,
J. K. Mohanty,
Sudhanshu Sekhar Das,
Anupam Mishra,
Prasanta Kumar Pradhan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/998/1/012007
Subject(s) - downtime , condition monitoring , reliability engineering , condition based maintenance , predictive maintenance , reliability (semiconductor) , fault (geology) , engineering , vibration , identification (biology) , preventive maintenance , fault detection and isolation , troubleshooting , maintenance actions , computer science , power (physics) , physics , botany , electrical engineering , actuator , quantum mechanics , seismology , biology , geology
Timely detection of fault and taking corrective measures reduces the downtime of any industry. It also increases the reliability and efficiency of the system. Nowadays, many industries have implemented condition monitoring (or condition based maintenance) techniques as a part of maintenance strategies. Condition based maintenance monitors the health condition of machine and diagnose the defect if any. Though there are various condition monitoring techniques, vibration analysis is one of the strongest and widely used technique for fault identification. It is used to diagnose the fault of rotating machine element. In a big power plant, condition monitoring techniques play an important role to reduce the downtime of primary system and its auxiliaries, which in turn leads to reduction in productivity loss. Therefore, it is desirable to ensure system availability.