Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets (Data)
Author: Dynamics and Vibration Analyses of Gearbox in Wind Turbine
Author: Qingkai HanPublisher: Springer
ISBN: 9811027471
Category : Technology & Engineering
Languages : en
Pages : 168
Book Description
This book explores the dynamics and vibration properties of gearboxes, with a focus on geared rotor systems. It discusses mechanical theories, finite-element based simulations, experimental measurements and vibration signal processing techniques. It introduces the vibration-resonance calculation method for the geared rotor system in wind turbines and load sharing of the planetary gear train, and offers a method for calculating the vibrations of geared rotor systems under either internal excitations from gear sets or external loads transferred from wind loads. It also defines and elaborates on parameter optimization for planetary gear systems based on the torsional dynamics of wind-turbine geared rotor systems. Moreover, it describes experimental measurements of vibrations on the wind-turbine gearbox performed on the test rig and on site, and analyzes the vibration signals of different testing points, showing them in both time and frequency domains. Lastly, it lists the gear coupling frequencies and fault characteristic frequencies from the vibrations of the gearbox housing. The technologies and results presented are valuable resources for use in dynamic design, vibration prediction and analysis of gearboxes and geared rotor systems in wind turbines as well as many other machines.
Bearing Fault Detection on Wind Turbine Gearbox Vibrations Using Generalized Likelihood Ratio-Based Indicators: Preprint
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
Studies in condition monitoring literature often aim to detect rolling element bearing faults because they have one of the biggest shares among defects in turbo machinery. Accordingly, several prognosis and diagnosis methods have been devised to identify fault signatures from vibration signals. The underlying idea behind traditional indicators often revolves around tracking both cyclostationarity and abnormal impulses in the vibration signals without distinguishing the two. A recently proposed method to capture the rolling element bearing degradation lays out the groundwork for new indicator families utilizing generalized likelihood ratio test. This novel approach exploits the cyclostationarity and the impulsiveness of vibration signals independently in order to estimate the most suitable indicators for a given fault. However, the method has yet to be tested on complex experimental vibration signals such as those of a wind turbine gearbox. In this study, the approach is applied to the NREL Wind Turbine Gearbox Condition Monitoring Round Robin Study data set for bearing fault detection purposes. The data set is measured on an experimental test rig of a wind turbine gearbox, hence the complexity of the vibration signals is similar to a real case. Furthermore, the new indicators are also tested with signals that carry multiple fault signatures. The outcome demonstrates that the proposed method is capable of distinguishing between healthy and damaged vibration signals measured on a complex wind turbine gearbox.
Advances in Condition Monitoring of Machinery in Non-Stationary Operations
Author: Alfonso Fernandez Del RinconPublisher: Springer
ISBN: 3030112209
Category : Technology & Engineering
Languages : en
Pages : 423
Book Description
This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2018, held on June 20 – 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.
Wind Turbine Gearbox Reliability Database, Condition Monitoring, and Operation and Maintenance Research Update
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
This presentation was given at the DRC Workshop held February 16-17, 2016. It covers the gearbox reliability challenge and provides updates on the Gearbox Reliability Database and future plans.
Wind Turbine Gearbox Reliability Database, Condition Monitoring, and Operation and Maintenance Research Update
Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This presentation was given at the DRC Workshop held February 16-17, 2016. It covers the gearbox reliability challenge and provides updates on the Gearbox Reliability Database and future plans.
Improving Component Reliability Through Performance and Condition Monitoring Data Analysis; NREL (National Renewable Energy Laboratory).
Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
This presentation discusses wind turbine gearbox reliability and the causes of and methods for preventing gearbox failures through condition monitoring.
Investigation of Multiple Data Streams for Gearbox Bearing Fault Prediction Through Machine-learning Models
Author: Lindy WilliamsPublisher:
ISBN:
Category : Structural analysis (Engineering)
Languages : en
Pages : 0
Book Description
Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test Plan
Author: H. LinkPublisher:
ISBN:
Category : Gearing
Languages : en
Pages : 96
Book Description
Gearboxes in wind turbines have not been achieving their expected design life even though they commonly meet or exceed the design criteria specified in current design standards. One of the basic premises of the National Renewable Energy Laboratory (NREL) Gearbox Reliability Collaborative (GRC) is that the low gearbox reliability results from the absence of critical elements in the design process or insufficient design tools. Key goals of the GRC are to improve design approaches and analysis tools and to recommend practices and test methods resulting in improved design standards for wind turbine gearboxes that lower the cost of energy (COE) through improved reliability. The GRC uses a combined gearbox testing, modeling and analysis approach, along with a database of information from gearbox failures collected from overhauls and investigation of gearbox condition monitoring techniques to improve wind turbine operations and maintenance practices. Testing of Gearbox 2 (GB2) using the two-speed turbine controller that has been used in prior testing. This test series will investigate non-torque loads, high-speed shaft misalignment, and reproduction of field conditions in the dynamometer. This test series will also include vibration testing using an eddy-current brake on the gearbox's high speed shaft.
Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration Systems
Author: Hogir RafiqPublisher: Springer Nature
ISBN: 365842480X
Category : Technology & Engineering
Languages : en
Pages : 206
Book Description
Hogir Rafiq proposes two approaches, the signal processing based condition monitoring approaches with applications to fault detection in gear systems, and application of deep mathematical and system theoretical methods to fault detection. The author develops the multivariate empirical mode decomposition (MEMD) algorithm to enhance the capability of extracting fault features and theoretical problems in nonlinear frequency analysis methods, respectively. The effectiveness has been demonstrated by an experimental study on a wind turbine gearbox test rig.