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Data-Driven Anomaly Diagnosis for Machining Processes Article

Y.C. Liang, S. Wang, W.D. Li, X. Lu

Engineering 2019, Volume 5, Issue 4,   Pages 646-652 doi: 10.1016/j.eng.2019.03.012

Abstract: of thresholds are optimized using a fruit fly optimization (FFO) algorithm to achieve more accurate detection

Keywords: Computer numerical control machining     Anomaly detection     Fruit fly optimization algorithm     Data-driven    

NIPAD: a non-invasive power-based anomaly detection scheme for programmable logic controllers Article

Yu-jun XIAO, Wen-yuan XU, Zhen-hua JIA, Zhuo-ran MA, Dong-lian QI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 519-534 doi: 10.1631/FITEE.1601540

Abstract: Unfortunately, PLCs cannot be protected by traditional intrusion detection systems or antivirus softwareMotivated by these concerns, we propose a non-invasive powerbased anomaly detection scheme for PLCs.lab testbed, and for a trojan attack whose difference from the normal program is around 0.63%, the detection

Keywords: Industrial control system     Programmable logic controller     Side-channel     Anomaly detection     Long short-term    

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over Regular Papers

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 388-404 doi: 10.1631/FITEE.1800038

Abstract:

Recently, sequence anomaly detection has been widely used in many fields.It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the dataOn one hand, most existing methods of sequence anomaly detection focus on the single-dimension sequenceTo improve the performance of anomaly detection for a multi-dimensional sequence over the data streamCompared with the existing anomaly detection methods, FAAD has a good performance in detection rate and

Keywords: Data stream     Multi-dimensional sequence     Anomaly detection     Concept drift     Feature selection    

Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case Article

Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li

Engineering 2023, Volume 27, Issue 8,   Pages 150-160 doi: 10.1016/j.eng.2022.09.013

Abstract: Here, we propose a method for adverse geology identification in tunnels based on mineral anomaly analysisThe method uses exploration data analysis (EDA) to calculate mineral anomaly thresholds, then evaluatesprocess for background samples to achieve the dynamic evaluation of mineral anomalies by adjusting anomaly

Keywords: Mineral anomaly     Adverse geology     Fault     Alteration     Anomaly threshold    

Large geomagnetic anomaly of impending earthquake gives a possibility in earthquake early warning

Zeng Xiaoping,Zheng Ji´ang , Wang Zhaoyi, Zhang Suqin, Lin Yunfang

Strategic Study of CAE 2011, Volume 13, Issue 4,   Pages 48-53

Abstract: We calculated that, in a place of 1 km from the epicenter, the magnetic anomaly before destructive earthquakes

Keywords: seismomagnetic effect     geomagnetic induction pre warning     pre-imminent magnetic anomaly     intermittent    

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords: thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords: Biosensor     Airborne microorganisms     Microbiological detection technology    

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords: perchlorate     SERS     detection     substrate     modification     nanostructure    

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

Keywords: Antibiotic contamination     Spectral detection     Machine learning    

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 44-55

Abstract: Pulse radiation detection has found its various applications in scientific researches, including nuclearThese diagnostic techniques and their relative detection systems, the design principle, the parameters

Keywords: fission reaction     fusion reaction     pulse radiation detection     detecting system     neutron detection     gamma-raydetection    

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paperFirst, images are picked up by an imaging system; a method of regional edge detection based on grayscales

Keywords: thermal expansion     image measurement     edge detection     image calibration    

Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading.

Keywords: Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 137-141 doi: 10.1007/s11709-009-0028-z

Abstract: This paper introduces a non-classical nonlinear acoustic theory for microcrack detection in materialsconcentrates on the experimental and numerical verification of the effectivity of contact nonlinear acoustic detection

Keywords: microcrack detection     contact nonlinearity     numerical analysis    

Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords: structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12,   Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: Another advantage of the proposed approach is that damage detection can be performed without establishing

Keywords: damage detection     beam structure     strain energy     static displacement variation     energy damage index    

Title Author Date Type Operation

Data-Driven Anomaly Diagnosis for Machining Processes

Y.C. Liang, S. Wang, W.D. Li, X. Lu

Journal Article

NIPAD: a non-invasive power-based anomaly detection scheme for programmable logic controllers

Yu-jun XIAO, Wen-yuan XU, Zhen-hua JIA, Zhuo-ran MA, Dong-lian QI

Journal Article

FAAD: an unsupervised fast and accurate anomaly detectionmethod for amulti-dimensional sequence over

Bin LI, Yi-jie WANG, Dong-sheng YANG, Yong-mou LI, Xing-kong MA

Journal Article

Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case

Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li

Journal Article

Large geomagnetic anomaly of impending earthquake gives a possibility in earthquake early warning

Zeng Xiaoping,Zheng Ji´ang , Wang Zhaoyi, Zhang Suqin, Lin Yunfang

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Damage detection in beam-like structures using static shear energy redistribution

Journal Article