Titlebook: Condition Monitoring and Nonlinear Frequency Analysis Based Fault Detection of Mechanical Vibration ; Hogir Rafiq Book 2023 The Editor(s)

鄙視

Conclusions and Future Work,In this thesis, the advanced signal based fault diagnosis for gearbox in the first phase and nonlinear frequency analysis model-based fault detection in the second phase have been developed.

saphenous-vein

Generalize

Ptsd429

爆米花

https://doi.org/10.1007/978-3-642-02059-9GFRFs calculation is to accurately estimate the nonlinear output spectrum which can be utilized in the estimation of NOFRFs. However, these approaches for computation of GFRFs and NOS suffers from two main problems; first, the expensive computational cost, mathematical complexity especially for high

Paradox

The Basics and Kinematics of Gears,ains different types of gears, gear mesh stiffness, components and geometry of the gearbox and the typical gear faults. Then, an overview regarding WTB multi-stage gearboxes and their characteristic frequencies are demonstrated.

Acclaim

Frequency Domain Analysis for Nonlinear Systems,ract some features belonging to the fault. This means that only the output measuring signal is considered in detecting faults and the effects of the input excitation, which is also critical in many engineering applications, has not been taking into account.

轉(zhuǎn)換

Development of Advanced Signal Processing Based Fault Diagnosis,on path between different parts is studied with the aid of advanced signal processing techniques. These methods are all univariate signal processing to analyse only one sensor signal. As mentioned in Chapter 2, a wind turbine (WTB) has a multi-stage gearboxes.

分解

Estimation of NOFRFs Based Parametric Characteristic Analysis,GFRFs calculation is to accurately estimate the nonlinear output spectrum which can be utilized in the estimation of NOFRFs. However, these approaches for computation of GFRFs and NOS suffers from two main problems; first, the expensive computational cost, mathematical complexity especially for high

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