201 近接駆動下における回転機械の高精度状態監視手法(セッション5 回転機械の診断技術)

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  • 201 New Condition Monitoring Method of Multiple Faults Generated by Rotary Machine Elements under the Other Operating Machineries Located Close Range Based on Multiplex Element Auto Regressive Model with Single-Input

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This paper proposes a novel condition monitoring method on rotary machineries by fault vibration signals extraction algorithm based on the proposed Multiplex Elements Auto Regressive model with Single Input (MEAR-SI model), which can be removed influence of vibration signal components generated by other machineries located close range except for monitored and diagnosed rotary machinery elements. We intend to have attempted to demonstrate the effectiveness of the proposal MEAR-SI model and its extraction algorithm using an experimental rotary machine which, is constructed by a rotor, spur gears and rolling element bearings, which are connected to a drive and two driven shafts. The experimental machine can be artificially assumed three common faults such as the outer race fault of the rolling bearing, the unbalanced rotor and a wear of all gear teeth at the same time. Good results are obtained in this article, the ability of the proposal condition monitoring method (MEAR-SI model and its algorithm) is effectively identified.

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