Pino et al., 2018 - Google Patents
Bearing diagnostics of hydro power plants using wavelet packet transform and a hidden Markov model with orbit curvesPino et al., 2018
View PDF- Document ID
- 12118763815903237517
- Author
- Pino G
- Ribas J
- Guimarães L
- Publication year
- Publication venue
- Shock and Vibration
External Links
Snippet
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 …
- 210000004279 Orbit 0 title abstract description 16
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ayo-Imoru et al. | A survey of the state of condition-based maintenance (CBM) in the nuclear power industry | |
| Dinmohammadi et al. | A fuzzy-FMEA risk assessment approach for offshore wind turbines | |
| Saidi et al. | Wind turbine high-speed shaft bearings health prognosis through a spectral Kurtosis-derived indices and SVR | |
| Pino et al. | Bearing diagnostics of hydro power plants using wavelet packet transform and a hidden Markov model with orbit curves | |
| EP3564526B1 (en) | Method, electronic device and storage media for monitoring a fatigue damage of a blade of a wind turbine unit | |
| Strączkiewicz et al. | Application of artificial neural network for damage detection in planetary gearbox of wind turbine | |
| Yu | A nonlinear probabilistic method and contribution analysis for machine condition monitoring | |
| Butler et al. | A feasibility study into prognostics for the main bearing of a wind turbine | |
| Elforjani | Diagnosis and prognosis of real world wind turbine gears | |
| Márquez et al. | An overview of wind turbine maintenance management | |
| CN118410279A (en) | Deep learning-based turbine unit fault processing method and system | |
| CN111192163B (en) | Generator reliability medium-short term prediction method based on wind turbine generator operating data | |
| CN110398384A (en) | The machine health monitoring of rotating machinery | |
| Zhou et al. | Bearing performance degradation assessment using lifting wavelet packet symbolic entropy and SVDD | |
| Burda et al. | An overview of vibration analysis techniques for the fault diagnostics of rolling bearings in machinery | |
| Zhang et al. | Generalized transmissibility damage indicator with application to wind turbine component condition monitoring | |
| CN118407884A (en) | Online testing and diagnosing method for vibration characteristics of blades of wind generating set | |
| Garlick et al. | A model-based approach to wind turbine condition monitoring using SCADA data | |
| Harzendorf et al. | Reducing cost uncertainty in the drivetrain design decision with a focus on the operational phase | |
| Calvo et al. | Enhanced complete ensemble EMD with superior noise handling capabilities: A robust signal decomposition method for power systems analysis | |
| Sharp | Prognostic approaches using transient monitoring methods | |
| Yeter et al. | Structural health monitoring data analysis for ageing fixed offshore wind turbine structures | |
| Liu et al. | Remaining useful life prediction of nuclear power machinery based on an exponential degradation model | |
| Wan et al. | Adaptive asymmetric real Laplace wavelet filtering and its application on rolling bearing early fault diagnosis | |
| Pino et al. | Research Article Bearing Diagnostics of Hydro Power Plants Using Wavelet Packet Transform and a Hidden Markov Model with Orbit Curves |