In this paper artificial neural networks and support vector machines are used to reduce the amount of vibration data that is required to estimate the Time Domain Average of a gear vibration signal. Two models for estimating the time domain average of a gear vibration signal are proposed. The models are tested on data from an accelerated gear life test rig. Experimental results indicate that the...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

Anti-vibration units have been developed to realize micro-vibration circumstance. Recently, the anti-vibration units using the piezo-elements have been widely developed. In these units, acceleration sensors were ordinarily used. However, in the literature 3), velocity sensors were attached to detect the vibration of structure. Then, the state-feedback theory was naturally applicable to the anti...

Vibration-based condition monitoring and fault diagnosis is an effective approach to maintain the reliable operation of a scroll compressor. Unfortunately, the vibration signal from the scroll compressor always has characteristics of being non-linear and non-stationary, which makes vibration signal analysis and fault feature extraction very difficult. To extract the significant fault features, ...

An efficient vibration estimation method for synthetic aperture radar (SAR) systems based on phase-analysis method is presented. Small vibrations, which consist of multiple frequency components and are usually rather weak, introduce phase modulation in radar echoes. They contain important signatures of objects. Extracting and analyzing the phase from radar echoes is one of the significant appro...

The principle of mathematical morphology and morphological operation filter are briefly introduced.A new signal processing method based on mathematical filter is presented.In order to remove non-linear noise in vibration signal, a kind of filter with structuring element adaptive,morphological opening and closing operators combination is designed.With moving structuring element,the signal can be...

Vibration signal processing has traditionallybeen accomplishedusing analog and digital signal analysers, or by writing assembler,FortranorC compiled code. The advent of higher level interpretive based signal processing software products like MATLABhas added a new dimension to vibration signal processing. This paper will outline the applicationof MATLABto analysisof the vibrationfrom rotating ma...

This paper presents the overall design of an industrial vibration transmitter using Micro Electro Mechanical System (MEMS) capacitive accelerometer. It describes the accelerometer sensor interfacing circuit, rms-to-dc converter and voltage to current loop converter circuit design, calibration procedure and mounting methods. The industrial vibration transmitter output can be customized to obtain...