1996
DOI: 10.1109/20.497553
|View full text |Cite
|
Sign up to set email alerts
|

Invariance transformations for magnetic flux leakage signals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
13
0

Year Published

1998
1998
2017
2017

Publication Types

Select...
4
2
2

Relationship

1
7

Authors

Journals

citations
Cited by 47 publications
(14 citation statements)
references
References 2 publications
1
13
0
Order By: Relevance
“…Inspection systems based on the simultaneous use of conventional ultrasonic transducers with magnetic flux leakage (MFL) sensors have a higher probability of detecting smaller near-surface and surfacebreaking defects in the rail head. However, as inspection speed increases, the performance of MFL sensors tends to deteriorate rapidly due to a reduction in the magnetic flux density arising from the eddy current excitation [1][2][3]. The use of higher magnetic fields to compensate for the reduction in magnetic flux density may not be straight forward due to the potential interference with the electronic equipment installed on rail tracks.…”
Section: Introductionmentioning
confidence: 99%
“…Inspection systems based on the simultaneous use of conventional ultrasonic transducers with magnetic flux leakage (MFL) sensors have a higher probability of detecting smaller near-surface and surfacebreaking defects in the rail head. However, as inspection speed increases, the performance of MFL sensors tends to deteriorate rapidly due to a reduction in the magnetic flux density arising from the eddy current excitation [1][2][3]. The use of higher magnetic fields to compensate for the reduction in magnetic flux density may not be straight forward due to the potential interference with the electronic equipment installed on rail tracks.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the statistical features invariant to sensor-tilt are studied for detection classifications regarding different crack cases. The presented scheme has no requirement of signal trainings that are time-consuming and used by radial basis functions and neural network in [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…However, irregularities due to the poor drilling around fastener hole sites and variations in the experimental operation, the probe and sensor-tilt diversion particularly are able to produce asymmetric signals, because they disturb induced current patterns same as the crack behavior [17]. The invariant feature analysis using signal processing techniques and invariance transformations have been reported to remove the asymmetry noise and probe lift-off effects which hinder crack identifications and ascend false calls [14][15][16][17]. Since the GMR sensor is placed at the center of multi-line EC probe, the lift-off changes might yield tilt sensor.…”
Section: Introductionmentioning
confidence: 99%
“…One example is Steam Generator tube inspection in nuclear power plants, where the measurements are taken at 4 frequencies with the same probe coil in a single scan using time multiplexing. Advanced signal processing algorithms based on invariance transformation can be used to make the data insensitive to unwanted parameters such as base conductivity, temperature and surface roughness, while retaining sensitivity to parameters of interest which is the oxide layer thickness [7,8]. The ability to use the same coil for the multiple frequencies will minimize the scanning time of a measurement bench.…”
Section: Future Workmentioning
confidence: 99%