31 May 2011
Without the need for conventional monitoring sensors, the AnomAlert can detect mechanical and electrical anomalies in motor and machine train operation. Information is presented by stand-alone or System 1 software, which offers an early warning of mechanical and electrical anomalies, recommendations for maintenance actions and a range of diagnostic analysis tools to verify and correct problems. The new condition monitoring solution is expected to find applications in all industrial sectors including oil and gas, petrochemicals, power generation, metals processing, pulp and paper, food and beverage textiles, and the automotive and maritime segments. Typical faults which can be identified include insulation breakdown, electrical supply problems, internal electrical problems, mechanical looseness, imbalance, misalignment, and bearing deterioration. Installation requires simple connection to current (and potential) transformers in the motor control cabinet. There is no need for long cable runs or for separate sensors to be fitted to the motor or load.
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