Journal ArticleDOI
NSCT-Based Infrared Image Enhancement Method for Rotating Machinery Fault Diagnosis
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TLDR
A new infrared image analysis method based on nonsubsampled contourlet transform is investigated with fuzzy enhancement and nonlinear gain to enhance fault-related information extraction and improve diagnosis accuracy.Abstract:
Infrared images are usually subject to low contrast, edge blurring, and high noise. Especially for machinery diagnosis, the range of temperature variation is narrow, which causes the difficulty to diagnose different equipment conditions directly from infrared images. To enhance fault-related information extraction and improve diagnosis accuracy, a new infrared image analysis method based on nonsubsampled contourlet transform is investigated with fuzzy enhancement and nonlinear gain. The parameters of fuzzy enhancement and nonlinear gain functions are optimized by particle swarming optimization algorithm, in which the optimization criterion is formulated by information entropy and contrast of infrared image. Feature extraction and dimensionality reduction methods are then applied to select features for further diagnosis. The effectiveness of the presented method is experimentally validated in the infrared image analysis of rotor test stand in laboratory, and the results show that the presented method can effectively enhance the fault information, enlarge the contrast of image under different conditions, and improve the accuracy of machinery fault diagnosis.read more
Citations
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Journal ArticleDOI
Diagnosis of the three-phase induction motor using thermal imaging
Adam Glowacz,Z. Głowacz +1 more
TL;DR: The authors develop an original method of the feature extraction of thermal images MoASoID (Method of Areas Selection of Image Differences), which compares many training sets together and it selects the areas with the biggest changes for the recognition process.
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Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review
TL;DR: The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented, and related data fusion methods and algorithms are summarized.
Journal ArticleDOI
Thermal Imaging and Vibration-Based Multisensor Fault Detection for Rotating Machinery
TL;DR: A multisensor system is proposed that not only uses infrared thermal imaging data, but also vibration measurements for automatic condition and fault detection in rotating machinery and it is shown that by combining these two types of sensor data, several conditions/faults and combinations can be detected more accurately than when considering the sensor streams individually.
Journal ArticleDOI
A Fusion CWSMM-Based Framework for Rotating Machinery Fault Diagnosis Under Strong Interference and Imbalanced Case
TL;DR: In this article , a fusion framework based on confidence weight support matrix machine (CWSMM) is proposed for rotating machinery fault diagnosis, which can not only fully leverage the structure information of infrared thermography images and vibration time-frequency images, but also has the following novelties.
Journal ArticleDOI
Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions.
Martin W. Hoffmann,Stephan Wildermuth,Ralf Gitzel,Aydin Boyaci,Jörg Dr. rer. nat. Gebhardt,Holger Kaul,Ido Amihai,Bodo Forg,Michael Suriyah,Thomas Leibfried,Volker Stich,Jan Hicking,Martin Bremer,Lars Kaminski,Daniel Beverungen,Philipp zur Heiden,Tanja Tornede +16 more
TL;DR: The current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear is reviewed and an approach to develop a predictive maintenance system based on novel sensors and machine learning is presented.
References
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Journal ArticleDOI
The Nonsubsampled Contourlet Transform: Theory, Design, and Applications
TL;DR: This paper proposes a design framework based on the mapping approach, that allows for a fast implementation based on a lifting or ladder structure, and only uses one-dimensional filtering in some cases.
Journal ArticleDOI
Infrared thermal imaging in medicine
E. F. J. Ring,Kurt Ammer +1 more
TL;DR: The features of modern infrared imaging technology and the standardization protocols for thermal imaging in medicine are described, and in certain applications thermal imaging is shown to provide objective measurement of temperature changes that are clinically significant.
Journal ArticleDOI
Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression
TL;DR: The experimental results show that the use of the HHT, the SVM, and the SVR is a suitable strategy to improve the detection, diagnostic, and prognostic of bearing degradation.
Journal ArticleDOI
Application of the EEMD method to rotor fault diagnosis of rotating machinery
Yaguo Lei,Zhengjia He,Yanyang Zi +2 more
TL;DR: Wang et al. as discussed by the authors proposed a new EEMD-based method for fault diagnosis of rotating machinery, which can reveal the signal characteristic information accurately because of the problem of mode mixing.
Image enhancement using smoothing with fuzzy sets
Sankar K. Pal,R. A. King +1 more
TL;DR: A model for grey-tone image enhancement using the concept of fuzzy sets is suggested and the reduction of the "index of fuzziness" and "entropy" for different enhanced outputs (corresponding to different values of fuzzifiers) is demonstrated.
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