Plant using Vibration Analysis
Debashis Panda, J. K. Mohanty, Subham Das, Anupam Mishra, Prasanta Kumar Pradhan
Abstract
Open-access reader
Debashis Panda, J. K. Mohanty, Subham Das, Anupam Mishra, Prasanta Kumar Pradhan
Abstract
Open-access reader
Abstract 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.
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Abstract 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.
Key concepts: Downtime, Condition monitoring, Reliability engineering, Condition-based maintenance, Predictive maintenance, Reliability (semiconductor), Fault (geology), Engineering