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Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves
المؤلفون المشاركون
Pino, Gabriel
Ribas, José Roberto
Guimarães, Luciana Fernandes
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-02
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
The contribution of a medium-sized hydro power plant to the power grid can be either at base load or at peak load.
When the latter is the most common operation mode, it increases the start and stop frequency, intensifying the hydro turbine components’ degradation, such as the guide bearings.
This happens due to more frequent operation in transient states, which means being outside the service point of the machines’ nominal condition, consisting of speed, flow, and gross head.
Such transient state operation increases the runner bearings’ mechanical vibration.
The readings are acquired during the runner start-ups and filtered by a DC component mean value and a wavelet packet transform.
The filtered series are used to estimate the relationship between the maximum orbit curve displacement and the accumulated operating hours.
The estimated equation associated with the ISO 7919-5 vibration standards establishes the sojourn times of the degradation states, sufficient to obtain the transition probability distribution.
Thereafter, a triangular probability function is used to determine the observation probability distribution in each state.
Both matrices are inputs required by a hidden Markov model aiming to simulate the equipment deterioration process, given a sequence of maximum orbit curve displacements.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pino, Gabriel& Ribas, José Roberto& Guimarães, Luciana Fernandes. 2018. Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves. Shock and Vibration،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215350
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pino, Gabriel…[et al.]. Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves. Shock and Vibration No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1215350
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pino, Gabriel& Ribas, José Roberto& Guimarães, Luciana Fernandes. Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1215350
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1215350
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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