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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and unary classification

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Intelligent power systems can improve operational efficiency by installing a large number of sensors. Data-based methods of supervised learning have gained popularity because of available Big Data and computing resources. However, the common paradigm of the loss function in supervised learning requires large amounts of labeled data and cannot process unlabeled data. The scarcity of fault data and a large amount of normal data in practical use pose great challenges to fault detection algorithms. Moreover, sensor data faults in power systems are dynamically changing and pose another challenge. Therefore, a fault detection method based on self-supervised feature learning was proposed to address the above two challenges. First, self-supervised learning was employed to extract features under various working conditions only using large amounts of normal data. The self-supervised representation learning uses a sequence-based Triplet Loss. The extracted features of large amounts of normal data are then fed into a unary classifier. The proposed method is validated on exhaust gas temperatures (EGTs) of a real-world 9F gas turbine with sudden, progressive, and hybrid faults. A comprehensive comparison study was also conducted with various feature extractors and unary classifiers. The results show that the proposed method can achieve a relatively high recall for all kinds of typical faults. The model can detect progressive faults very quickly and achieve improved results for comparison without feature extractors in terms of F1 score.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 787-799 doi: 10.1007/s11709-019-0516-8

Abstract: the unconfined compressive strength (UCS) of soil-RAP blend stabilized with Portland cement based on multivariate

Keywords： full-depth reclamation     soil-reclaimed asphalt pavement blend     Portland cement     unconfined compressive strength     multivariate    

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Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 6, doi: 10.1007/s11783-017-0945-3

Abstract: analyzed to assess the overall performance of CFB incineration by applying the Mahalanobis distance as a multivariate

Keywords： Municipal solid waste     Incineration     Circulating fluidized bed     Load change     Multivariate outlier detection    

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Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 895-904 doi: 10.1007/s11783-014-0736-z

Abstract: temporal and spatial variations of water quality data sets for the Xin'anjiang River through the use of multivariate

Keywords： Xin'anjiang River     multivariable statistical analysis     temporal variation     spatial variation     water quality    

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Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective

Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 146-153 doi: 10.15302/J-SSCAE-2022.06.013

Abstract:

The central area of a megacity, which features high-intensity development, large population density, and concentrated urban functions, demonstrates the most prominent urban problems. Addressing the urban malaise in megacities necessitates analyzing and demonstrating the reasonable scale of the megacity central area. This study proposes that commuting time is the core controlling factor determining the reasonable scale of the megacity central area. Combining with point of interest data of multi-type land use and the geographic information system data for street administrative division, we identified the current central urban areas of ten cities in China using big data analysis and the clustering method; their current traffic efficiencies were then evaluated based on path navigation data via web maps and mobile phone signaling data verification. Finally, demonstration results were presented through quantitative analysis. Our study shows that the current central areas of the ten megacities cannot satisfy residents' need for a proper commuting time; considering factors such as technological development and improvement in the level of governance, 13‒15 km is the upper limit of equivalent radius for the central area of a megacity.

Keywords： reasonable scale     multivariate data     central urban area     megacity     happiness    

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Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three Article

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Engineering 2018, Volume 4, Issue 5,   Pages 617-626 doi: 10.1016/j.eng.2018.06.006

Abstract: ">This study develops a multivariateeco-hydrological risk-assessment framework based on the multivariate copula method in order to evaluateThe probabilistic features of bivariate and multivariate hydrological risk are also characterized.

Keywords： Flood risk     Copula     Multivariate flood frequency analysis     Distribution     Markov chain Monte Carlo    

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Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research Article

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Engineering 2021, Volume 7, Issue 12,   Pages 1725-1731 doi: 10.1016/j.eng.2020.05.028

Abstract: in the amount of high-dimensional data and thus have increased the demand for proper and efficient multivariateNumerous traditional multivariate approaches such as principal component analysis have been used broadlymethod extensions provide valuable guidelines for future omics research, especially with respect to multivariate

Keywords： Multivariate regression methods     Reduced rank regression     Sparsity     Dimensionality reduction     Variable    

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New nonlinear stiffness actuator with predefined torque‒deflection profile

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0721-3

Abstract: A nonlinear stiffness actuator (NSA) could achieve high torque/force resolution in low stiffness range

Keywords： compliant actuator     nonlinear stiffness actuator     nonlinear spring     predefined torque−deflection profile    

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Mean wind load induced incompatibility in nonlinear aeroelastic simulations of bridge spans

Zhitian ZHANG

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 605-617 doi: 10.1007/s11709-018-0499-x

Abstract: Mean wind response induced incompatibility and nonlinearity in bridge aerodynamics is discussed, where the mean wind and aeroelastic loads are applied simultaneously in time domain. A kind of incompatibility is found during the simultaneous simulation of the mean wind and aeroelastic loads, which leads to incorrect mean wind structural responses. It is found that the mathematic expectations (or limiting characteristics) of the aeroelastic models are fundamental to this kind of incompatibility. In this paper, two aeroelastic models are presented and discussed, one of indicial-function-denoted (IF-denoted) and another of rational-function-denoted (RF-denoted). It is shown that, in cases of low wind speeds, the IF-denoted model reflects correctly the mean wind load properties, and results in correct mean structural responses; in contrast, the RF-denoted model leads to incorrect mean responses due to its nonphysical mean properties. At very high wind speeds, however, even the IF-denoted model can lead to significant deviation from the correct response due to steady aerodynamic nonlinearity. To solve the incompatibility at high wind speeds, a methodology of subtraction of pseudo-steady effects from the aeroelastic model is put forward in this work. Finally, with the method presented, aeroelastic nonlinearity resulted from the mean wind response is investigated at both moderate and high wind speeds.

Keywords： bridge     aerodynamics     nonlinear     aeroelastic model     Pseudo-steady     mean wind loads    

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General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: However, some nonlinear factors are within the practical system; thus, it is difficult to fit the modelThis paper proposes a general expression for linear and nonlinear auto-regressive time series modelsexperiments show that the GNAR model can accurately approximate to the dynamic characteristics of the most nonlinear

Keywords： linear and nonlinear     autoregressive model     system identification     time series analysis    

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Evaluation of transmissibility for a class of nonlinear passive vibration isolators

Z. K. PENG, Z. Q. LANG, G. MENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 401-409 doi: 10.1007/s11465-012-0349-9

Abstract: concept of Output Frequency Response Functions (OFRFs) is applied to represent the transmissibility of nonlinearcharacteristic parameters is derived for a wide class of nonlinear isolators that have nonlinear anti-symmetricdamping characteristics and a comprehensive pattern about how the nonlinear damping characteristic parametersThese conclusions are of significant importance in the analysis and design of the nonlinear vibrationisolators with nonlinear anti-symmetric damping.

Keywords： nonlinear vibration     volterra series     Output Frequency Response Functions (OFRFs)     nonlinear damping     vibration    

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Numerical analysis of nonlinear dynamic behavior of earth dams

Babak EBRAHIMIAN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 24-40 doi: 10.1007/s11709-010-0082-6

Abstract: The numerical investigation employs a fully nonlinear dynamic finite difference analysis incorporating

Keywords： earth dam     numerical     nonlinear response     dynamic analysis     earthquake     dam height    

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Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1520-1530 doi: 10.1007/s11709-020-0672-x

Abstract: this study, for the first time, we investigate the nonlocality superimposed to the size effects on the nonlineara reduced-order model based on the differential quadrature method (DQM) to discretize the governing nonlinearequation of motion and acquire a discretized-parameter nonlinear model of the system.The structural nonlinear behavior of the system assuming both strain and velocity gradient theories is

Keywords： velocity gradient elasticity theory     nanotube resonators     differential-quadrature method     nonlinear vibration    

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Analytical approach to robust design of nonlinear mechanical systems

Jian ZHANG, Nengsheng BAO, Guojun ZHANG, Peihua GU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 203-214 doi: 10.1007/s11465-009-0022-0

Abstract: functional requirements, structural characteristics, design parameters and uncontrollable variables of nonlinearFor a nonlinear mechanical system, relationships among structural characteristics of the system, design

Keywords： robust     design     nonlinear    

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Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 649-664 doi: 10.1007/s11783-014-0702-9

Abstract: Fuzzy comprehensive assessment and multivariate statistical techniques including cluster analysis, discriminant

Keywords： Fuzzy comprehensive assessment     multivariate statistical analysis     water quality    

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Title Author Date Type Operation

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and unary classification

Journal Article

Modeling of unconfined compressive strength of soil-RAP blend stabilized with Portland cement using multivariate

Ali Reza GHANIZADEH, Morteza RAHROVAN

Journal Article

Performance evaluation of circulating fluidized bed incineration of municipal solid waste by multivariate

Hua Tao, Pinjing He, Yi Zhang, Wenjie Sun

Journal Article

Assessment of temporal and spatial variations in water quality using multivariate statistical methods

Xue LI,Pengjing LI,Dong WANG,Yuqiu WANG

Journal Article

Reasonable Scale of Megacity Central Area Based on Multivariate Data and a Traffic Perspective

Lu Huapu, Bai Zhuotong,Wu Zhouhao, Fu Zhihuan

Journal Article

Uncertainty Quantification for Multivariate Eco-Hydrological Risk in the Xiangxi River within the Three

Yurui Fan,Guohe Huang,Yin Zhang,Yongping Li

Journal Article

Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Journal Article

New nonlinear stiffness actuator with predefined torque‒deflection profile

Journal Article

Mean wind load induced incompatibility in nonlinear aeroelastic simulations of bridge spans

Zhitian ZHANG

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Evaluation of transmissibility for a class of nonlinear passive vibration isolators

Z. K. PENG, Z. Q. LANG, G. MENG

Journal Article

Numerical analysis of nonlinear dynamic behavior of earth dams

Babak EBRAHIMIAN

Journal Article

Velocity gradient elasticity for nonlinear vibration of carbon nanotube resonators

Hamid M. SEDIGHI, Hassen M. OUAKAD

Journal Article

Analytical approach to robust design of nonlinear mechanical systems

Jian ZHANG, Nengsheng BAO, Guojun ZHANG, Peihua GU

Journal Article

Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Journal Article