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

Theoretical Foundations for High Performance Order Tracking with the Vold-Kalman Tracking Filter

1997 ◽  
Author(s):  
Håvard Vold ◽  
Michael Mains ◽  
Jason Blough
Keyword(s):  
High Performance ◽  
Order Tracking ◽  
Tracking Filter ◽  
Theoretical Foundations

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.

Order Tracking Filtering Based on Instantaneous Frequency Estimation and Zero-Phase Distortion Digital Filtering

2003 ◽  
Author(s):  
Shuren Qin ◽  
Yu Guo
Keyword(s):  
Instantaneous Frequency ◽  
Frequency Estimation ◽  
Digital Filtering ◽  
Vibration Signal ◽  
Phase Distortion ◽  
Instantaneous Frequency Estimation ◽  
Order Tracking ◽  
Run Up ◽  
Tracking Filter ◽  
Zero Phase

A new method for run-up or coast down vibration signal order tracking filtering of rotating machinery based on instantaneous frequency estimation and zero-phase distortion digital filtering is proposed in this paper. By contrast with traditional methods of order tracking filtering, the features of tacholess, no hardware-based tracking filter required and no frequency shift to original sampling data, etc, make it more attractive. The theorems and algorithms of the method are detailed discussed in this paper. The filtering of overlapped data blocks is used to restrain the edge effect, which caused by digital filtering, is also introduced. An actual test example of a motor’s run-up and coast down vibration is introduced to demonstrate the validity of the method.

Order Tracking Filtering for Rotating Machinery Diagnosis Based on Zero Phase Distortion Digital Filtering

2005 ◽  
Vol 295-296 ◽  
pp. 747-752
Author(s):  
S.R. Qin ◽  
Y. Guo
Keyword(s):  
Frequency Estimation ◽  
Digital Filtering ◽  
Rotating Machinery ◽  
Phase Distortion ◽  
New Method ◽  
Instantaneous Frequency Estimation ◽  
Order Tracking ◽  
Run Up ◽  
Tracking Filter ◽  
Zero Phase

A new method for order tracking filtering of rotating machinery based on instantaneous frequency estimation and zero-phase distortion digital filtering is proposed. Compared with the traditional methods for order tracking filtering, the new method has a number of attractive features such as tacholess, no hardware-based tracking filter and no frequency shift to the original sampling data. The theorems and algorithms of the method are discussed. Filtering of overlapped data blocks, used to restrain the edge effect, which is caused by digital filtering, is introduced. An actual test example of run-up and coast down vibration of a motor is presented to demonstrate the validity of the method.

A Low Power and Low Noise On-Chip Active RF Tracking Filter for Digital TV Tuner ICs

2011 ◽  
Vol E94-C (10) ◽  
pp. 1698-1701
Author(s):  
Yang SUN ◽  
Chang-Jin JEONG ◽  
In-Young LEE ◽  
Sang-Gug LEE
Keyword(s):  
Low Power ◽  
Digital Tv ◽  
Low Noise ◽  
On Chip ◽  
Tracking Filter

Smart Policies for Multi-Source Inventory Systems and General Tandem Queues with Order Tracking and Expediting

2020 ◽  
Author(s):  
Jing-Sheng Jeannette Song ◽  
Li Xiao ◽  
Hanqin Zhang ◽  
Paul Zipkin
Keyword(s):  
Inventory Systems ◽  
Tandem Queues ◽  
Order Tracking
Sign in / Sign up

Export Citation Format

Share Document