Dynamic Signal Interpretation of Rotary Machines Using Adaptive Order Tracking

2007 ◽  
Author(s):  
Min-Chun Pan ◽  
Cheng-Xue Wu
Keyword(s):  
Experimental Validation ◽  
Weighting Factor ◽  
Theoretical Derivation ◽  
Processing Application ◽  
Real Time Processing ◽  
Synthetic Signal ◽  
Order Tracking ◽  
Rotary Machinery ◽  
On Line ◽  
Order Components

This paper proposes and implements an adaptive Vold-Kalman filtering order tracking (VKF_OT) approach to overcome the deficiencies of the original VKF_OT scheme for condition monitoring and diagnosis of rotary machinery. This article comprises theoretical derivation, numerical implementation and experimental validation. Comparisons of the adaptive scheme to the original are accomplished through processing a synthetic signal composed of close order components. Parameters such as the weighting factor and the correlation matrix of process noise, which influences tracking performance, are investigated in the study. The adaptive OT scheme based on the Kalman filter can be computed on-line and implemented as a real-time processing application. This paper also illustrates experimental validation through the separation of two close orders arising from a transmission test bench.

Adaptive Angular-Velocity Vold-Kalman Order Tracking Used in Characterizing Dynamic Signals Measured From Rotary Machines

2009 ◽  
Author(s):  
Min-Chun Pan ◽  
Wei-Chen Chu
Keyword(s):  
Processing Parameters ◽  
Weighting Factor ◽  
Theoretical Derivation ◽  
Processing Application ◽  
Real Time Processing ◽  
Synthetic Signal ◽  
Order Tracking ◽  
Rotary Machinery ◽  
On Line ◽  
Experimental Justification

In this paper we propose and implement an order tracking (OT) technique evaluating in an adaptive manner for signal interpretation and diagnosis of rotary machinery during operation. The paper comprises theoretical derivation, numerical implementation and experimental justification. Comparisons of the adaptive Vold-Kalman filtering OT (VKFOT) scheme to its conventional form are made through synthetic signal processing. Parameters such as the weighting factor, Q1 parameter, sampling frequency and process noise, which influence tracking performance, are investigated. Moreover, this adaptive OT scheme can be computed on-line and implemented as a real-time processing 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.

Dynamic-Signal Characterization of Rotary Machinery Using Improved Gabor Order Tracking Technique

2005 ◽  
Author(s):  
Min-Chun Pan ◽  
Shu-Wei Liao
Keyword(s):  
Elementary Function ◽  
Dual Function ◽  
Order Tracking ◽  
Rotary Machinery ◽  
Electric Scooter ◽  
Expansion Coefficients ◽  
Order Components ◽  
Gabor Expansion ◽  
Signal Characterization

The study proposes an improved Gabor order tracking (GOT) technique to cope with crossing orders that cannot be effectively separated by using the original GOT scheme. The improvement aids both the reconstruction and interpretation of two crossing orders such as a transmission-element- related order component and a structural resonance. The dual function of the Gabor elementary function can affect the precision of tracked order components. Its influence on the computed Gabor expansion coefficients is investigated in the study. For applying the improved GOT in practical works, the separation and extraction of close-order components of vibration signals measured from a transmission-element test bench is illustrated by using both the GOT and Vold-Kalman filtering OT schemes. Additionally, the ranking of noise components from a riding electric scooter is demonstrated.

Online Real-Time Monitoring System Through Using Adaptive Angular-Velocity VKF Order Tracking

2012 ◽  
Author(s):  
Ting-Chi Yeh ◽  
Min-Chun Pan
Keyword(s):  
Angular Velocity ◽  
Real Time ◽  
Monitoring System ◽  
Condition Monitoring ◽  
Theoretical Derivation ◽  
Periodic Loading ◽  
Order Tracking ◽  
Computation Scheme ◽  
Condition Monitoring System ◽  
Operation Status

When rotary machines are running, acousto-mechanical signals acquired from the machines are able to reveal their operation status and machine conditions. Mechanical systems under periodic loading due to rotary operation usually respond in measurements with a superposition of sinusoids whose frequencies are integer (or fractional integer) multiples of the reference shaft speed. In this study we built an online real-time machine condition monitoring system based on the adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm, which was implemented through a DSP chip module and a user interface coded by the LabVIEW®. This paper briefly introduces the theoretical derivation and numerical implementation of computation scheme. Experimental works justify the effectiveness of applying the developed online real-time condition monitoring system. They are the detection of startup on the fluid-induced instability, whirl, performed by using a journal-bearing rotor test rig.

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.

On-line experimental validation of a model-based diagnostic algorithm dedicated to a solid oxide fuel cell system

2016 ◽  
Vol 306 ◽  
pp. 646-657 ◽  
Author(s):  
Pierpaolo Polverino ◽  
Angelo Esposito ◽  
Cesare Pianese ◽  
Bastian Ludwig ◽  
Boris Iwanschitz ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Solid Oxide Fuel Cell ◽  
Experimental Validation ◽  
Diagnostic Algorithm ◽  
Cell System ◽  
Solid Oxide ◽  
Oxide Fuel ◽  
Fuel Cell System ◽  
Model Based ◽  
On Line

Real-Time Face Decorations of Enlarging Eyes and Whitening Skin in Video Based on Face Posture Estimation by Particle Filter

2013 ◽  
Vol 17 (3) ◽  
pp. 392-403
Author(s):  
Norikazu Ikoma ◽  
◽  
Gefan Zhang
Keyword(s):  
Particle Filter ◽  
Real Time ◽  
Human Face ◽  
Real Time Processing ◽  
Still Image ◽  
Time Processing ◽  
The Face ◽  
Posture Estimation ◽  
On Line ◽  
Regional Position

Decorations of face such as enlarging eyes, whitening skin, rendering face slim, and so on are commercially successful in amusement arcades especially in Japan for still image and off-line processing. This paper proposes to decorate human face in video on-line and in real-time processing. Face posture estimation using particle filter plays a key role to decorate the face by precisely determining position of the eyes as well as determining regional position of face. Our proposed method conducts two decorations, enlarging eyes and whitening skin, based on the estimation result of face posture. Real-time implementation of the proposed method has been demonstrated for real scenes of indoor situation.

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