Patil N, Das D, Pecht M (2015) Anomaly detection for IGBTs using Mahalanobis distance. Microelectron Reliab 55(7):1054–1059. : 10.1016/j.microrel.2015.04.001N. Patil, D. Das, M. Pecht, "Anomaly Detection for IGBTS Using Mahalanobis Distance", Microelectron. ...
Mahalanobis Distance is an effective distance metric that finds the distance between a point and a distribution. It’s very effective on multivariate data.
摘要: Analog filters play a very important role in insuring the availability of electronic systems. Early detection of anomalies of analog filters can prevent the impending failures and enhance reliability.关键词: Analog filters Anomaly detection Frequency features Mahalanobis distance (MD) One class ...
This paper developed an approach for HDD anomaly detection using Mahalanobis distance (MD). Critical parameters were selected using failure modes, mechanisms, and effects analysis (FMMEA), and the minimum redundancy maximum relevance (mRMR) method. A self-monitoring, analysis, and reporting technology...
Anomaly detection for IGBTs using Mahalanobis distance (MD)-based anomaly detection approach has been evaluated for non-punch through (NPT) and trench field stop (FS) insulated gate bipolar transistors (IGBT... N Patil,D Das,M Pecht - 《Microelectronics Reliability》 被引量: 7发表: 2015年 On...
anomaly detectiontensor decompositionMahalanobis distanceHyperspectral imagery (HSI) has high spectral and spatial resolutions, which are essential for anomaly detection (AD). Many anomaly detectors assume that the spectrum signature of HSI pixels can be modeled with a Gaussian distribution, which is ...
Anomaly detectionFinite element analysisHigh-speed trainStrain sensor arrayTorsional fatigue testTripod shaftThe tripod shafts used in high-speed trains transmit the power of a motor to axle reduction units. A tripod shaft is designed as a shaft with a protective fuse because the load applied to ...
parts, the cross entropy of the front half part and the back half part can be computed, the distribution change description of the network session multi-tuple group is more accurate, and the effective network anomaly traffic detection is realized after combination with the Mahalanobis distance.韩伟...
Sparse matrix transform (SMT) for hyperspectral image processing (Low-rank and Sparse matrix decomposition-based Mahalanobis distance for Anomaly Detection)方法.该方法分为三个部分:(1)基于异常目标的数量稀疏性,背景的低秩性... J Theiler,G Cao,LR Bachega,... 被引量: 45发表: 2011年 加载更多来源...
Keywords: &gamma,能谱,异常识别,人工智能,主成分分析,Mahalanobis距离,gamma spectra,anomaly detection,artificial intelligence,principal component analysis,Mahalanobis distance Full-Text Cite this paper Add to My Lib Abstract: 为了提高货物或人体放射性筛查的可靠性,提出了一种基于主成分分析和Mahalanobis距离...