Results 231 to 240 of about 163,645 (292)
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Information Sciences, 2019
Fault detection (FD) is essential for monitoring various chemical processes. Many chemical processes can be described by input-output models. Partial least squares (PLS) method is one of the most popular statistical approaches used for modeling and ...
M. Harkat +3 more
semanticscholar +1 more source
Fault detection (FD) is essential for monitoring various chemical processes. Many chemical processes can be described by input-output models. Partial least squares (PLS) method is one of the most popular statistical approaches used for modeling and ...
M. Harkat +3 more
semanticscholar +1 more source
, 2020
In this paper we consider a new fault detection approach that merges the benefits of Gaussian process regression (GPR) with a generalized likelihood ratio test (GLRT). The GPR is one of the most well-known machine learning techniques.
R. Fezai +4 more
semanticscholar +1 more source
In this paper we consider a new fault detection approach that merges the benefits of Gaussian process regression (GPR) with a generalized likelihood ratio test (GLRT). The GPR is one of the most well-known machine learning techniques.
R. Fezai +4 more
semanticscholar +1 more source
Generalized likelihood ratios for quantitative diagnostic test scores
The American Journal of Emergency Medicine, 1997The reduction of quantitative diagnostic test scores to the dichotomous case is a wasteful and unnecessary simplification in the era of high-speed computing. Physicians could make better use of the information embedded in quantitative test results if modern generalized curve estimation techniques were applied to the likelihood functions of Bayes ...
D, Tandberg, J J, Deely, A J, O'Malley
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Generalized likelihood ratio tests for complex fMRI data
SPIE Proceedings, 2004Functional magnetic resonance imaging (fMRI) intends to detect significant neural activity by means of statistical data processing. Commonly used statistical tests include the Student-t test, analysis of variance, and the generalized linear model test. A key assumption underlying these methods is that the data are Gaussian distributed.
Sijbers, J. (author) +1 more
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Adaptive selection method for generalized likelihood ratio test
IEEE Transactions on Aerospace and Electronic Systems, 2015The generalized likelihood ratio test (GLRT) for spatial diversity detection is widely used in target detection problems in multiple input, multiple output (MIMO) radar systems. GLRT is derived using the probability density function (pdf) of the noise signal in a homogeneous noise environment.
Minjae Park 0002, Hwang Soo Lee
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A full generalized likelihood ratio test for source detection
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012This work presents a novel full generalized likelihood ratio test (GLRT) for signal detection in a sensor array environment. The multiple hypothesis test approach is well known to have excellent detection performance among several popular methods. Existing multiple test procedures consider the relation between two adjacent models.
Pei-Jung Chung, Kon Max Wong
openaire +1 more source
IEEE transactions on industrial electronics (1982. Print), 2019
This paper proposes a new approach for the detection of stator faults in inverter-fed induction motor under closed-loop control. These faults, generally, start with interturn short circuit and can evolve to phase-to-phase or phase-to-ground faults ...
E. Elbouchikhi +3 more
semanticscholar +1 more source
This paper proposes a new approach for the detection of stator faults in inverter-fed induction motor under closed-loop control. These faults, generally, start with interturn short circuit and can evolve to phase-to-phase or phase-to-ground faults ...
E. Elbouchikhi +3 more
semanticscholar +1 more source
Energy, 2018
This paper proposes an improved statistical failure detection technique for enhanced monitoring capabilities of PV systems. The proposed technique offers reduced false alarm and missed detection rates compared to the generalized likelihood ratio test ...
M. Mansouri +7 more
semanticscholar +1 more source
This paper proposes an improved statistical failure detection technique for enhanced monitoring capabilities of PV systems. The proposed technique offers reduced false alarm and missed detection rates compared to the generalized likelihood ratio test ...
M. Mansouri +7 more
semanticscholar +1 more source
A nonlinear version of the generalized likelihood ratio test
Proceedings of the 33rd Chinese Control Conference, 2014In this paper, a new version of the generalized likelihood ratio (GLR) test is proposed to deal with the fault diagnosis problem in nonlinear systems. The unscented Kalman filter (UKF) is utilized for state estimation and innovation generation. The fault signatures used in the hypotheses test are pre-computed by running the fault model and the nominal ...
Hai Liu, Maiying Zhong
openaire +1 more source
Engineering applications of artificial intelligence, 2019
This paper proposes a new leak/contaminant detection approach that aims to enhance the monitoring of water distribution network (WDN). The developed method relies on using machine learning (e.g Gaussian process regression (GPR)) as a modeling framework ...
Radhia Fazai +6 more
semanticscholar +1 more source
This paper proposes a new leak/contaminant detection approach that aims to enhance the monitoring of water distribution network (WDN). The developed method relies on using machine learning (e.g Gaussian process regression (GPR)) as a modeling framework ...
Radhia Fazai +6 more
semanticscholar +1 more source