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Trevor J. com ABSTRACT In industry it is often very slowly rotating machinery which is the most critical to the production process as well as being the largest and the highest value. These factors combine to increase the economic requirement for Condition Based Maintenance and hence the importance of suitable means of Condition Monitoring. However slow rotational speeds result in reduced energy loss rates from damage related processes and because of this Condition Monitoring techniques which detect energy loss tend to be more difficult if not impossible to apply.

In the examples to date the ' Extent® ' value has been the most widely relevant AE signal characterisation we have evaluated. However it is noted that on its own this parameter may well be inappropriate in the case of, say, a bearing race with an isolated crack in it. It is for this reason that a selection of different AE signal characteristics are required and a strategy should be adopted whereby alarms are set on each of them. The system that has been created, the MHC-SloPoinf^^, performs four such signal characterisations.

A NEW APPROACH Back in 1997 at Holroyd Instruments we considered the nature of the AE signals generated by slowly rotating machinery and developed new signal processing algorithms which we believed would be of relevance to monitoring very slowly rotating machinery. Although specific details of these algorithms are not made available for commercial reasons part of the external functionality of one of the parameters, 'Extent®', can be described as being to characterise the detectable AE activity in terms of the percentage of the rotational cycle where activity of concern is detected.

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Course Refrigerating Engineering

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