H∞ estimator for gearbox diagnosis in variable speed conditions
نویسندگان
چکیده
It is well known that a faulty gearbox vibration signal exhibits an amplitude modulation (AM) as well as a phase modulation (PM). These modulation carry out a lot of useful information about health condition. This paper presents two approaches for modeling amplitude and phase modulation in gearbox vibration signal. These last are used to describe the vibration signal by a state space model. Then, the H∞ estimator is designed to estimate the modulation appearing in the vibration signal. This estimator is obtained by minimizing the worst possible amplification effects of disturbances (measurement and modeling noises) on the estimation error. Such an estimator does not require any assumption on the statistic properties of the noises. Since additive noises in gearbox vibration signal are non Gaussian and non white, this estimator is more suitable in practical gearbox diagnosis. To evaluate the performance of the two approaches, we use a synthetic and an experimental gearbox vibration signal.
منابع مشابه
Misalignment Diagnosis of a Planetary Gearbox Based on Vibration Analysis
As a critical power transmission system, planetary gearbox is widely used in many industrial important machines such as wind turbines, aircraft turbine engines, helicopters. Early fault detection and diagnosis of the gearbox will help to prevent unexpected breakdowns of this important equipment. Misalignment is one of the major operating problems in the planetary gearbox which may be caused by ...
متن کاملField Oriented Control of Dual Mechanical Port Machine for Hybrid Electric Vehicle
A dual mechanical port machine (DMPM) is used as an electrically variable transmission (EVT) in hybrid electric vehicle (HEV). In the conventional HEV, this machine is replaced by a planetary gearbox and two electric machines and makes this structure simpler. This paper presents field oriented control (FOC) for DMPM. For HEV application, drive efficiency and wide operating speed range are impor...
متن کاملUsing Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملJoint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions
Wind turbines usually operate under nonstationary conditions, such as wide-range speed fluctuation and time-varying load. Its critical component, the planetary gearbox, is prone to malfunction or failure, which leads to downtime and repair costs. Therefore, fault diagnosis and condition monitoring for the planetary gearbox in wind turbines is a vital research topic. Meanwhile, the signals measu...
متن کاملModern Vibration Signal Processing Techniques for Vehicle Gearbox Fault Diagnosis
This paper presents modern vibration signalprocessing techniques for vehicle gearbox fault diagnosis, via the wavelet analysis and the Squared Envelope (SE) technique. The wavelet analysis is regarded as a powerful tool for the detection of sudden changes in non-stationary signals. The Squared Envelope (SE) technique has been extensively used for rolling bearing diagnostics. In the present work...
متن کامل