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Journal Article
Journal of Sound and Vibration, ISSN 0022-460X, 12/2018, Volume 436, pp. 165 - 182
.... In this paper, AE detection of rail cracks in real noise environment is investigated and an improved method is proposed to increase the accuracy of crack detection... 
Acoustic emission | Rail crack detection | NARX neural network | Feature detection | Chaos theory | TIME-SERIES PREDICTION | ACOUSTICS | MECHANICS | PRACTICAL METHOD | EMBEDDING DIMENSION | TRANSFORM | ENGINEERING, MECHANICAL | Acoustic emission testing | Neural networks | Noise control | Methods | Investigations
Journal Article
IEEE transactions on instrumentation and measurement, ISSN 1557-9662, 2018, Volume 67, Issue 2, pp. 257 - 269
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 03/2015, Volume 54-55, pp. 41 - 51
Journal Article
Measurement : journal of the International Measurement Confederation, ISSN 0263-2241, 2018, Volume 123, pp. 193 - 202
....•The detection algorithm is suitable for onboard monitoring system.•The algorithm is simple and efficient allowing lightweight and low power hardware... 
Wheel flat | Railway monitoring | Vehicle diagnostic | Wheel-rail contact | Algorithms | Numerical analysis
Journal Article
IEEE transactions on vehicular technology, ISSN 1939-9359, 2017, Volume 66, Issue 6, pp. 4691 - 4705
This paper develops a sensor fault detection scheme for rail vehicle passive suspension systems, using a fault detection observer, in the presence of uncertain track regularity and vehicle noises... 
Rails | Fault detection | Stochastic processes | rail vehicle suspension systems | Observers | Automobiles | observer design | Suspensions | NETWORKED CONTROL-SYSTEMS | ACTUATOR FAULTS | TRANSPORTATION SCIENCE & TECHNOLOGY | TELECOMMUNICATIONS | DETECTION FILTER DESIGN | ENGINEERING, ELECTRICAL & ELECTRONIC | Fault location (Engineering) | Usage | Research | Sensors | Signal processing | Suspension systems | Computer simulation | Disturbances
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 2008, Volume 15, pp. 649 - 652
...). After the combining, energy detection (ED) is used. However, optimal combining needs information of the source signal and channel, which is usually unknown... 
Fading | Wireless sensor networks | Uncertainty | sensing algorithm | Light rail systems | spectrum sensing | Cognitive radio | Frequency synchronization | Signal detection | Microphones | Signal to noise ratio | Noise level | Spectrum sensing | Sensing algorithm | SIGNALS | signal detection | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Sensors (Basel, Switzerland), ISSN 1424-8220, 2019, Volume 19, Issue 16, p. 3614
Journal Article
Wear, ISSN 0043-1648, 2011, Volume 271, Issue 1-2, pp. 349 - 356
Journal Article
IEEJ Transactions on Electrical and Electronic Engineering, ISSN 1931-4973, 03/2018, Volume 13, Issue 3, pp. 505 - 509
The rail surface images captured by line‐scan cameras are susceptible to nonuniform illumination, stray light, smoothness variations of the rail surface, and so on, which degrade the detection accuracy of the rail surface spalling... 
robustness | block local contrast measure (BLCM) | defect detection | visual saliency | rail surface spalling | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Control systems | Algorithms | College teachers | Noise control | Remote sensing | Noise reduction | Salience | Light | Stray light | Spalling | Illumination | Image filters | Smoothness | Image detection | Image contrast
Journal Article
Journal of sound and vibration, ISSN 0022-460X, 2015, Volume 339, pp. 419 - 432
.... However, little work has been done on studying rail defect detection at high speed. This paper presents a study on AE detection of rail defect at high speed based on rail–wheel test rig... 
ACOUSTICS | DIAGNOSIS | ENERGY | MECHANICS | FEATURE-EXTRACTION | FAULT | ENGINEERING, MECHANICAL | Acoustic emission testing | Analysis | Rails | Wavelet transforms | Windows (intervals) | Vibration | Entropy (Information) | High speed | Acoustic emission | Defects
Journal Article