Order-Component Separation and Ranking of Dynamic Signals Using Angular-Information Kalman-Filtering Order Tracking

2003 ◽  
Author(s):  
Min-Chun Pan ◽  
Yu-Fong Lin
Keyword(s):  
Noise Reduction ◽  
Kalman Filtering ◽  
Test Bench ◽  
Order Component ◽  
Design Modification ◽  
Trouble Shooting ◽  
Order Tracking ◽  
Spectral Components ◽  
Order Components ◽  
Tracking Filter

This paper presents advanced order tracking techniques using the Kalman tracking filter with angular information to extract both close and cross order components from measured dynamic signals. Separated order components can be ranked for the purpose of trouble shooting and design modification. In the study, close-order components resulting from shaft unbalancing and gear meshing of a transmission element test bench can be extracted precisely. In addition, for the pass-by noise measurement of CVT-driving electrical scooters, spectral components can be ranked appropriately for a further noise reduction task.

Development and Implementation of Adaptive Order Analysis in the Application of Multiaxial Systems

2001 ◽  
Author(s):  
Min-chun Pan ◽  
Jeng-xing Chen
Keyword(s):  
Signal Processing ◽  
Test Bench ◽  
Machine Component ◽  
Order Analysis ◽  
Rotary Machinery ◽  
Spectral Components ◽  
Fixed Order ◽  
Noise Vibration ◽  
Order Components ◽  
Vibration Signatures

Abstract This study investigates the varying-order analysis based on mechanism, and realizes it in dynamic signal processing of rotary machinery. Firstly, the synthetic signatures consisting of fixed-order, varying-order components and resonance-related ones as well are designed to validate the developed computation schemes. Secondly, this work takes an electrical scooter as a test bench, which some experiments have been conducted on. The noise and vibration signatures are measured and processed to characterize different spectral components and identify their sources. Some of the annoying ones belong to fixed order (e.g., gear whine noise), varying order (e.g., CVT-belt noise) and structure resonance (e.g., the structure-borne noise originated from the CVT housing). Therefore, the concerned noise/vibration can subsequently be coped with via machine component modification.

Order Tracking Techniques in Diagnostic Tasks

2005 ◽  
Author(s):  
Min-Chun Pan
Keyword(s):  
Kalman Filtering ◽  
Angular Displacement ◽  
Signal Reconstruction ◽  
Ecg Signal ◽  
Order Tracking ◽  
Electric Scooter ◽  
Spectral Components ◽  
Rotary Machines ◽  
Specific Order

Order tracking techniques have been applied in processing dynamic signals measured from rotary machines for decades. The developed order tracking techniques can be classified into waveform reconstruction and non-reconstruction approaches. The waveform-reconstruction schemes such as the Gabor and the Vold-Kalman filtering order tracking techniques can extract specific order and/or spectral components in addition to characterizing the processed signal in an rpm-frequency plane. The paper objectively compares the characteristics of the improved Gabor order tracking and angular-displacement Vold-Kalman Filtering order tracking schemes. Two diagnostic tasks including ECG signal reconstruction to enhance tiny information, and the characterization of crossing-order noise measured from a riding electric scooter, are accomplished as examples of application.

Extended Angular-Velocity Vold–Kalman Order Tracking

2010 ◽  
Vol 132 (3) ◽  
Author(s):  
Min-Chun Pan ◽  
Cheng-Xue Wu
Keyword(s):  
Angular Velocity ◽  
Planetary Gear ◽  
Transmission System ◽  
Theoretical Derivation ◽  
Order Tracking ◽  
Electric Scooter ◽  
Rotary Machines ◽  
Machine Elements ◽  
Order Components

Dynamic signals acquired from rotary machines can be characterized by the order tracking (OT) techniques. The extracted order components correspond to the operation of specific machine elements and reflect their current healthy or faulty states. The study extends the angular-velocity Vold–Kalman OT scheme to simultaneously extract multiple order components. Theoretical derivation is illustrated with simulation of processing three synthetic signals to show its merit. Additionally, as an example to validate its effectiveness, the improved OT scheme is used to process pass-by noise emitted from an electric scooter with a planetary-gear-set transmission system. The gear-meshing orders are effectively decoupled from structure-borne resonances.

Noise analysis of the turbojet and turbofan engine tests

2013 ◽  
Vol 228 (13) ◽  
pp. 2414-2423
Author(s):  
Jingjing Huang ◽  
Longxi Zheng
Keyword(s):  
Power Spectrum ◽  
Noise Reduction ◽  
Spectrum Analysis ◽  
Test Bench ◽  
Power Spectrum Analysis ◽  
Noise Power ◽  
Far Field ◽  
Turbofan Engine ◽  
Turbojet Engine ◽  
Field Noise

Aerogine noise leads to environment pollution largely when aerogine is tested. In this paper, the power spectrum analysis method of the aeroengine test noise was discussed, and the noise measurement and analysis experiments of a turbojet engine and a turbofan engine tests were carried out. The noise level, main noise resource, and noise characteristics of the two turbojet and turbofan engines were analyzed. Meanwhile, the indoor noise and far-field noise of the turbojet engine were both measured, the noise spread characteristics were analyzed and the noise reduction performance of the test bench was evaluated. The noise generated by the turbojet engine test had the discrete characteristic of high frequency. The higher frequencies when peak values occurred were the blade passage frequencies and the noises with lower frequencies were the broad band noises, especially the jet noise, and the maximum of the peak values occurred at the basic frequencies or harmonic frequencies of the compressor. Meanwhile, the noises generated by the turbofan engine, focused on the high frequencies and the peak values corresponded to the rotation noise of the fan blades. The experimental results were consistent with the theory basically, which indicated that the aeroengine operating status information could be identified by the noise power spectrum analysis. In addition to the aeroengine noise reduction research, the noise power spectrum analysis could also be used to diagnose the fault of the aeroengine structure and performance. On the other hand, the indoor and far-field noise measurement experimental results implied that the noise was suppressed from 136 dB to 85 dB and could provide the reference to the noise reduction design of the aeroengine test bench.

Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

2016 ◽  
Author(s):  
Yu. V. Kistenev ◽  
A. V. Shapovalov ◽  
D. A. Vrazhnov ◽  
V. V. Nikolaev
Keyword(s):  
Noise Reduction ◽  
Absorption Spectra ◽  
Kalman Filtering ◽  
Exhaled Air

Order tracking using the Vold–Kalman tracking filter

1999 ◽  
Vol 105 (2) ◽  
pp. 1026-1026 ◽  
Author(s):  
Svend Gade ◽  
Henrik Herlufsen ◽  
Hans Konstantin‐Hansen
Keyword(s):  
Order Tracking ◽  
Tracking Filter

scholarly journals Comparative Study between the Discrete-Frequency Kalman Filtering and the Discrete-Time Kalman Filtering with Application in Noise Reduction in Speech Signals

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Leandro Aureliano da Silva ◽  
Gilberto Arantes Carrijo ◽  
Eduardo Silva Vasconcelos ◽  
Roberto Duarte Campos ◽  
Cleiton Silvano Goulart ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Comparative Study ◽  
Noise Reduction ◽  
Discrete Time ◽  
Kalman Filtering ◽  
Signal To Noise Ratio ◽  
Spectral Distortion ◽  
Signal To Noise ◽  
Discrete Frequency ◽  
Speech Reconstruction

This article aims to carry out a comparative study between discrete-time and discrete-frequency Kalman filters. In order to assess the performance of both methods for speech reconstruction, we measured the output segmental signal-to-noise ratio and the Itakura-Saito distance provided by each algorithm over 25 different voice signals. The results show that although the two algorithms performed very similarly regarding noise reduction, the discrete-time Kalman filter produced smaller spectral distortion on the estimated signals when compared with the discrete-frequency Kalman filter.

scholarly journals Software Sensors for Order Tracking Applied to Permanent Magnet Synchronous Generator Diagnostics: A Comparative Study

Robotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 59
Author(s):  
Laurent Rambault ◽  
Abdallah Allouche ◽  
Erik Etien ◽  
Anas Sakout ◽  
Thierry Doget ◽  
...  
Keyword(s):  
Test Bench ◽  
Angular Position ◽  
Synchronous Generator ◽  
Point Of View ◽  
Operating Conditions ◽  
Permanent Magnet Synchronous Generator ◽  
Order Tracking ◽  
Software Sensors ◽  
Identification Technique ◽  
Angle Of Rotation

The paper deals with software sensors which facilitates the diagnosis of electrical machines in non-stationary operating conditions. The technique targeted is order tracking for which different techniques exist to estimate the speed and angle of rotation. However, from a methodological point of view, this paper offers a comparison of several methods in order to evaluate their performance from tests on a test bench. In addition, to perform the tests, it is necessary to initialize the different methods to make them work correctly. In particular, an identification technique is proposed as well as a way to facilitate initialization. The example of this paper is that of a synchronous generator. Angular sampling allows the spectrum to be stationary and the interpretation of a possible defect. The realization of the angular sampling and the first diagnostic elements require the knowledge of two fundamental quantities: the speed of rotation and the angular position of the shaft. The estimation of the rotation speed as well as the estimation of the angular position of the shaft are carried out from the measurement of an electric current (or three electric currents and three voltages). Four methods are proposed and evaluated to realize software sensors: identification technique, PLL (Phase Locked Loop), Concordia transform and an observer. The four methods are evaluated on measurements carried out on a test bench. The results are discussed from the diagnosis of a mechanical fault.

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