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Название: Detection of bearing damage by statistic vibration analysis
Авторы: Sikora, Evgeny Alexandrovich
Ключевые слова: повреждения; подшипники; статистический анализ; вибрации; сигналы; диагностика
Дата публикации: 2016
Издатель: IOP Publishing
Библиографическое описание: Sikora E. A. Detection of bearing damage by statistic vibration analysis / E. A. Sikora // IOP Conference Series: Materials Science and Engineering. — 2016. — Vol. 124 : Mechanical Engineering, Automation and Control Systems (MEACS2015) : International Conference, 1–4 December 2015, Tomsk, Russia : [proceedings]. — [012167, 6 p.].
Аннотация: The condition of bearings, which are essential components in mechanisms, is crucial to safety. The analysis of the bearing vibration signal, which is always contaminated by certain types of noise, is a very important standard for mechanical condition diagnosis of the bearing and mechanical failure phenomenon. In this paper the method of rolling bearing fault detection by statistical analysis of vibration is proposed to filter out Gaussian noise contained in a raw vibration signal. The results of experiments show that the vibration signal can be significantly enhanced by application of the proposed method. Besides, the proposed method is used to analyse real acoustic signals of a bearing with inner race and outer race faults, respectively. The values of attributes are determined according to the degree of the fault. The results confirm that the periods between the transients, which represent bearing fault characteristics, can be successfully detected.
URI: http://earchive.tpu.ru/handle/11683/33901
Располагается в коллекциях:Материалы конференций

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