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首页> 外文期刊>Hydrocarbon Processing >Consider online predcitive technology to reduce electric motor maintenance costs
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Consider online predcitive technology to reduce electric motor maintenance costs

机译:考虑使用在线预测技术以减少电动机维护成本

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摘要

Electric motors are rugged and reliable electromechancal energy conversion devices. However, severe environmental conditions, misoperation or the equipment's age can cause operatoinal malfunction. The average large electric machine's annual failure rate is minimally estimaed to be 3%. In enterprises that require motors to be operated under hostle environmental conditions, such as the hydrocarbon processg, pulp and paper, and offshore industires this rate can be high as 12%.
机译:电动机是坚固而可靠的机电能量转换装置。但是,严酷的环境条件,误操作或设备的老化会导致操作失常。最小的平均大型电机的年故障率估计为3%。在要求电动机在恶劣环境条件下运行的企业中,例如碳氢化合物加工,纸浆和造纸以及海上工业,该比率可能高达12%。

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