![](/images/graphics-bg.png)
Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves
Joint Authors
Pino, Gabriel
Ribas, José Roberto
Guimarães, Luciana Fernandes
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215350