Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 90, Issue -, Pages 189-207Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2016.12.030
Keywords
Journal bearing rotor system; Anomaly diagnosis; Gap sensor; Vibration signal; Directionality of anomaly
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Funding
- Technology Innovation Program - Ministry of Trade, Industry & Energy (MI, Korea) [10050980]
- Korea Evaluation Institute of Industrial Technology (KEIT) [10050980] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Some anomaly states of journal bearing rotor systems are direction-oriented (e.g., rubbing, misalignment). In these situations, vibration signals vary according to the direction of the sensors and the health state. This makes diagnosis difficult with, traditional diagnosis methods. This paper proposes an omnidirectional regeneration method to develop a robust diagnosis algorithm for rotor systems. The proposed method can generate vibration signals in arbitrary directions without using extra sensors. In this method, signals are generated around the entire circumference of the rotor to consider all possible directions. Then, the directionality of each state is proved by mathematically and is evaluated using a proposed metric. When a directional state is determined, the classification is carried out on all of the generated signals. When a non-directional state is found, the classification is performed on only one of the generated signals to minimize computational load without sacrificing accuracy. The proposed ODR method was validated using experimental data. The classification results show that the proposed method generally outperforms the conventional classification method. The results support the proposed concept of using ODR signals in diagnosis procedures for journal bearing systems. (C) 2016 Elsevier Ltd. All rights reserved.
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