In-line identification of oil debris signals: an adaptive subband filtering approach

doi:10.1088/0957-0233/21/1/015104

IOPscience

Measurement Science and Technology

Quick search Find article

Quick search

All journals This journal only

Find article
Volume number: Issue number (if known): Article or page number:

Measurement Science and Technology Volume 21 Number 1 Create an alert RSS this journal

I Soltani Bozchalooi and Ming Liang 2010 Meas. Sci. Technol. 21 015104 doi:10.1088/0957-0233/21/1/015104

In-line identification of oil debris signals: an adaptive subband filtering approach

I Soltani Bozchalooi and Ming Liang¹

Show affiliations

Tag this article Full text PDF (1.06 MB)

Abstract References Cited By

The oil debris monitor (ODM) is a device used to examine lubricant oil conditions. However, the ODM is prone to both background noise and vibration interferences, thereby causing false alarms and also limiting its ability in detecting fine particles. This paper focuses on the enhancement of the ODM performance. This is achieved by a two-stage de-noising scheme. In the first stage, a wavelet-based adaptive subband filtering technique is applied to remove the vibration-related interferences. The outputs of the adaptive filters are then thresholded in the second stage to remove the background noise mainly caused by the wiring and measurement system flaws. The proposed approach has been validated using both simulated and experimental data.

Your last 10 viewed

In-line identification of oil debris signals: an adaptive subband filtering approach
I Soltani Bozchalooi and Ming Liang 2010 Meas. Sci. Technol. 21 015104
Keck Adaptive Optics Imaging of Nearby Young Stars: Detection of Close Multiple Systems
Alexis Brandeker et al. 2003 The Astronomical Journal 126 2009
Unusual "Stunted" Outbursts in Old Novae and Nova-like Cataclysmic Variables
R. K. Honeycutt et al. 1998 The Astronomical Journal 115 2527
Large Merger Recoils and Spin Flips from Generic Black Hole Binaries
Manuela Campanelli et al 2007 ApJ 659 L5
A critical analysis of the hydrino model
A Rathke 2005 New J. Phys. 7 127
Signatures of Exosolar Planets in Dust Debris Disks
Leonid M. Ozernoy et al 2000 ApJ 537 L147
Magneto-transport through single-molecule magnets: Kondo-peaks, zero-bias dips, molecular symmetry and Berry's phase
Maarten R Wegewijs et al 2007 New J. Phys. 9 344
A Photometric and Spectroscopic Study of the Cataclysmic Variable ST LMi during 2005-2006
S. Kafka et al. 2007 The Astronomical Journal 133 1645
Search in spatial scale-free networks
H P Thadakamalla et al 2007 New J. Phys. 9 190
Clauser–Horne inequality for the full counting statistics
Fabio Taddei et al 2005 New J. Phys. 7 183

Users also read

What's this?

This innovative new feature generates a list of articles 'also read' by other users based on them reading the original article. Article abstracts citations and references are all considered and weighted accordingly. We hope that this will help you find relevant papers for your research.

IOPscience

IOPscience

Measurement Science and Technology

In-line identification of oil debris signals: an adaptive subband filtering approach

Users also read

Related review articles

Share

View by subject

Export