The Experts below are selected from a list of 30453 Experts worldwide ranked by ideXlab platform
Humberto Henao - One of the best experts on this subject based on the ideXlab platform.
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Modeling and simulation of planetary Gearbox effects on a wound rotor induction machine
2012 IEEE International Symposium on Industrial Electronics, 2012Co-Authors: Z. Daneshi-far, Gérard André Capolino, Humberto HenaoAbstract:Planetary gear trains are complex critical components of several electromechanical systems. This paper presents a dynamic model of planetary Gearbox associated to a wound rotor induction machine. The model of Gearbox includes essential non-linearities such as time-varying mesh stiffness, transmission error and damping force. The proposed Gearbox model is a general model and is adapted for all possible power flow configuration of single stage planetary Gearbox with any number of planet gears. To evaluate this electromechanical model, a single stage planetary Gearbox is monitored using electrical machine signature. Simulation results show that the electromagnetic torque and the stator current of induction machine contain rotating and related rotating frequency components as well as mesh and related mesh frequency components of a healthy planetary Gearbox. The planetary Gearbox, which is used in this work, consists of three planet gears with the ring gear as the input, the sun gear as the output and planet-carrier as the fix part.
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ISIE - Modeling and simulation of planetary Gearbox effects on a wound rotor induction machine
2012 IEEE International Symposium on Industrial Electronics, 2012Co-Authors: Z. Daneshi-far, Gérard André Capolino, Humberto HenaoAbstract:Planetary gear trains are complex critical components of several electromechanical systems. This paper presents a dynamic model of planetary Gearbox associated to a wound rotor induction machine. The model of Gearbox includes essential non-linearities such as time-varying mesh stiffness, transmission error and damping force. The proposed Gearbox model is a general model and is adapted for all possible power flow configuration of single stage planetary Gearbox with any number of planet gears. To evaluate this electromechanical model, a single stage planetary Gearbox is monitored using electrical machine signature. Simulation results show that the electromagnetic torque and the stator current of induction machine contain rotating and related rotating frequency components as well as mesh and related mesh frequency components of a healthy planetary Gearbox. The planetary Gearbox, which is used in this work, consists of three planet gears with the ring gear as the input, the sun gear as the output and planet-carrier as the fix part.
B Mcniff - One of the best experts on this subject based on the ideXlab platform.
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Gearbox reliability collaborative high speed shaft tapered roller bearing calibration
2013Co-Authors: J Keller, B McniffAbstract:The National Renewable Energy Laboratory (NREL) Gearbox Reliability Collaborative (GRC) is a project investigating Gearbox reliability primarily through testing and modeling. Previous dynamometer testing focused upon acquiring measurements in the planetary section of the test Gearbox. Prior to these tests, the strain gages installed on the planetary bearings were calibrated in a load frame.
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Gearbox Reliability Collaborative Phase 3 Gearbox 2 Test Plan
2013Co-Authors: H. Link, J Keller, B McniffAbstract: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
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NREL Gearbox Reliability Collaborative: Comparing In-Field Gearbox Response to Different Dynamometer Test Conditions: Preprint
2011Co-Authors: W. Lacava, Robb Wallen, B McniffAbstract:This paper presents the results of NREL's Gearbox Reliability Collaborative comparison of dynamometer tests conducted on a 750-kW Gearbox to field testing.
Xiaodong Zhang - One of the best experts on this subject based on the ideXlab platform.
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URAI - Research on detection system for measuring ring gear tooth root strain of planetary Gearbox with fiber bragg grating (FBG)
2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016Co-Authors: Xindan Zhao, Xiaodong ZhangAbstract:With the rapid development of robot technology, more and more intelligent robots serve for people in many fields. The Gearbox is important for many robots. Planetary Gearbox is widely applied to mechanical transmission in many fields because of its excellent advantages. However, the fault occurs frequently owing to the severe work conditions. The traditional fault diagnosis methods based on vibration signal cannot effectively monitor the planetary Gearbox fault. In contrast, the fault can influence the tooth root strain more directly, so that the signal to noise ratio of the tooth root strain is higher than others, and it is a better vector for fault feature. Fault diagnosis method of planetary Gearbox based on tooth root strain is proposed to overcome the difficulty in fault diagnosis of planetary Gearbox. The rationality of measuring ring gear tooth root strain of planetary Gearbox with FBG is discussed in this paper to diagnosis the planetary Gearbox healthy condition, and then a detection system for measuring ring gear tooth root strain of planetary Gearbox with FBG is designed, which can measure the change of FBG reflection wavelength in order to get the tooth root strain information, and it has some advantages of high-speed, wide-range and high-resolution. Further more, the detection system can accomplish the backward filtering of the ring gear tooth root strain so as to lay the foundation for fault diagnosis of planetary Gearbox based on ring gear tooth root strain.
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Research on detection system for measuring ring gear tooth root strain of planetary Gearbox with fiber bragg grating (FBG)
2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016Co-Authors: Xindan Zhao, Xiaodong ZhangAbstract:With the rapid development of robot technology, more and more intelligent robots serve for people in many fields. The Gearbox is important for many robots. Planetary Gearbox is widely applied to mechanical transmission in many fields because of its excellent advantages. However, the fault occurs frequently owing to the severe work conditions. The traditional fault diagnosis methods based on vibration signal cannot effectively monitor the planetary Gearbox fault. In contrast, the fault can influence the tooth root strain more directly, so that the signal to noise ratio of the tooth root strain is higher than others, and it is a better vector for fault feature. Fault diagnosis method of planetary Gearbox based on tooth root strain is proposed to overcome the difficulty in fault diagnosis of planetary Gearbox. The rationality of measuring ring gear tooth root strain of planetary Gearbox with FBG is discussed in this paper to diagnosis the planetary Gearbox healthy condition, and then a detection system for measuring ring gear tooth root strain of planetary Gearbox with FBG is designed, which can measure the change of FBG reflection wavelength in order to get the tooth root strain information, and it has some advantages of high-speed, wide-range and high-resolution. Further more, the detection system can accomplish the backward filtering of the ring gear tooth root strain so as to lay the foundation for fault diagnosis of planetary Gearbox based on ring gear tooth root strain.
Z. Daneshi-far - One of the best experts on this subject based on the ideXlab platform.
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Modeling and simulation of planetary Gearbox effects on a wound rotor induction machine
2012 IEEE International Symposium on Industrial Electronics, 2012Co-Authors: Z. Daneshi-far, Gérard André Capolino, Humberto HenaoAbstract:Planetary gear trains are complex critical components of several electromechanical systems. This paper presents a dynamic model of planetary Gearbox associated to a wound rotor induction machine. The model of Gearbox includes essential non-linearities such as time-varying mesh stiffness, transmission error and damping force. The proposed Gearbox model is a general model and is adapted for all possible power flow configuration of single stage planetary Gearbox with any number of planet gears. To evaluate this electromechanical model, a single stage planetary Gearbox is monitored using electrical machine signature. Simulation results show that the electromagnetic torque and the stator current of induction machine contain rotating and related rotating frequency components as well as mesh and related mesh frequency components of a healthy planetary Gearbox. The planetary Gearbox, which is used in this work, consists of three planet gears with the ring gear as the input, the sun gear as the output and planet-carrier as the fix part.
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ISIE - Modeling and simulation of planetary Gearbox effects on a wound rotor induction machine
2012 IEEE International Symposium on Industrial Electronics, 2012Co-Authors: Z. Daneshi-far, Gérard André Capolino, Humberto HenaoAbstract:Planetary gear trains are complex critical components of several electromechanical systems. This paper presents a dynamic model of planetary Gearbox associated to a wound rotor induction machine. The model of Gearbox includes essential non-linearities such as time-varying mesh stiffness, transmission error and damping force. The proposed Gearbox model is a general model and is adapted for all possible power flow configuration of single stage planetary Gearbox with any number of planet gears. To evaluate this electromechanical model, a single stage planetary Gearbox is monitored using electrical machine signature. Simulation results show that the electromagnetic torque and the stator current of induction machine contain rotating and related rotating frequency components as well as mesh and related mesh frequency components of a healthy planetary Gearbox. The planetary Gearbox, which is used in this work, consists of three planet gears with the ring gear as the input, the sun gear as the output and planet-carrier as the fix part.
Fanrang Kong - One of the best experts on this subject based on the ideXlab platform.
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subspace based Gearbox condition monitoring by kernel principal component analysis
Mechanical Systems and Signal Processing, 2007Co-Authors: Qingbo He, Fanrang KongAbstract:Feature extraction is a key step for Gearbox condition monitoring. The statistical features of the measured vibrations can be used to characterise Gearbox conditions; however, their regularity and sensitivity in pattern space are different and may vary considerably under different operating conditions. This paper addresses the non-linear feature extraction scheme from the time-domain features with wavelet packet preprocessing and frequency-domain features of the vibration signals using the kernel principal component analysis (KPCA). Then two different KPCA-based subspace structures are constructed for representing and classifying the Gearbox conditions. The proposed methods can extract the non-linear features of Gearbox conditions using KPCA effectively, and perform conveniently with low computational complexity based on subspace methods. Experimental analysis with a fatigue test of an automobile transmission Gearbox shows that the KPCA features outperform PCA features in terms of clustering capability, and both the two KPCA-based subspace methods can be effectively applied to Gearbox condition monitoring.
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cyclostationarity analysis for Gearbox condition monitoring approaches and effectiveness
Mechanical Systems and Signal Processing, 2005Co-Authors: Zhihua Feng, Fanrang KongAbstract:Cyclostationarity matches the rhythmic feature of Gearbox vibration and thus provides an effective alternative for Gearbox condition monitoring. This paper concerns with the applications and the effectiveness of cyclostationarity from the first order to the third order in Gearbox condition monitoring. To this objective, basic theories on cyclostationarity analysis for signal feature representation are reviewed. A fatigue test is carried out on a Gearbox to obtain the Gearbox signals of running-in stage, normal wearing stage and ultimate wearing stage. Based on the first-order cyclostationarity, the double-time synchronous averaging and the first-order cyclostationary spectrum is proposed for feature representation; the results of these approaches demonstrate their effectiveness in showing the Gearbox condition degradation and even the gear structural fault. The spectrum of the second-order cyclic cumulant shows the degradation of the Gearbox condition through the interactions between cyclic frequency and frequency. The cyclic bispectrum based on third-order cyclostationarity represents the Gearbox condition degradation effectively through the interactions between frequencies. All the conclusions verify cyclostationarity analysis as an effective tool for Gearbox condition monitoring.
