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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
Keywords: Mineral anomaly Adverse geology Fault Alteration Anomaly threshold
Lian Jijian,Li Chengye,Liu Fang,Ma Bin
Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 38-44
Keywords: flood discharge structure Hilbert-Huang Transform the energy distribution vector anomaly index warningthreshold numerical simulation
Qiang FU,Jiahong LI,Tianxiao LI,Dong LIU,Song CUI
Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3, Pages 231-240 doi: 10.15302/J-FASE-2016101
Keywords: economic-social-ecological uncertainty harmonious entropy surface water and groundwater utilization threshold
Frontiers in Energy doi: 10.1007/s11708-023-0870-z
Keywords: threshold solar water splitting hydrogen III
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
To achieve zero-defect production during computer numerical control (CNC) machining processes, it is imperative to develop effective diagnosis systems to detect anomalies efficiently. However, due to the dynamic conditions of the machine and tooling during machining processes, the relevant diagnosis systems currently adopted in industries are incompetent. To address this issue, this paper presents a novel data-driven diagnosis system for anomalies. In this system, power data for condition monitoring are continuously collected during dynamic machining processes to support online diagnosis analysis. To facilitate the analysis, preprocessing mechanisms have been designed to denoise, normalize, and align the monitored data. Important features are extracted from the monitored data and thresholds are defined to identify anomalies. Considering the dynamic conditions of the machine and tooling during machining processes, the thresholds used to identify anomalies can vary. Based on historical data, the values of thresholds are optimized using a fruit fly optimization (FFO) algorithm to achieve more accurate detection. Practical case studies were used to validate the system, thereby demonstrating the potential and effectiveness of the system for industrial applications.
Keywords: Computer numerical control machining Anomaly detection Fruit fly optimization algorithm Data-driven
Fracture model for the prediction of the electrical percolation threshold in CNTs/Polymer composites
Yang SHEN, Pengfei HE, Xiaoying ZHUANG
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1, Pages 125-136 doi: 10.1007/s11709-017-0396-8
Keywords: electrical percolation CNTs/Polymer composites fracture model electric conductivity tunnelling effects
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
Keywords: seismomagnetic effect geomagnetic induction pre warning pre-imminent magnetic anomaly intermittent
Blind identification of threshold auto-regressive model for machine fault diagnosis
LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1, Pages 46-49 doi: 10.1007/s11465-007-0007-9
Keywords: speed-up classifier practical extraction experiment
Multi-dimensional optimization for approximate near-threshold computing
Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10, Pages 1413-1534 doi: 10.1631/FITEE.2000089
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
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 datadimensions in sequence data and large state space lead to a poor ability for sequence modeling; (2) AnomalyOn 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 stream
Keywords: Data stream Multi-dimensional sequence Anomaly detection Concept drift Feature selection
The application of advanced threshold denoising tothe MMW target radiation signal
Fan Qinghui,Li Xingguo
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 153-157
Keywords: The application of advanced threshold denoising tothe MMW target radiation signal
Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status
Jian HUANG,Gui-xiong LIU
Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3, Pages 311-315 doi: 10.1007/s11465-016-0376-z
Keywords: multi-color space k-nearest neighbor algorithm (k-NN) self-learning surge test
High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic threshold Research Article
Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1633-1646 doi: 10.1631/FITEE.2300005
Keywords: High-emitter identification Temporal optimization On-board diagnostic device (OBD) Dynamic threshold
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
Keywords: Industrial control system Programmable logic controller Side-channel Anomaly detection Long short-term
Small-scale area survey and analyses of Xinjiang’s coal field fire in China
Zhong Maohua,Fu Tairan,Hu Zhongbin
Strategic Study of CAE 2010, Volume 12, Issue 1, Pages 12-17
Keywords: coal field fire thermal anomaly temperature small-scale remote sensing
Title Author Date Type Operation
Adverse Geology Identification Through Mineral Anomaly Analysis During Tunneling: Methodology and Case
Zhenhao Xu, Tengfei Yu, Peng Lin, Shucai Li
Journal Article
Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform
Lian Jijian,Li Chengye,Liu Fang,Ma Bin
Journal Article
Utilization threshold of surface water and groundwater based on the system optimization of crop planting
Qiang FU,Jiahong LI,Tianxiao LI,Dong LIU,Song CUI
Journal Article
Approaching the commercial threshold of solar water splitting toward hydrogen by III-nitrides nanowires
Journal Article
Data-Driven Anomaly Diagnosis for Machining Processes
Y.C. Liang, S. Wang, W.D. Li, X. Lu
Journal Article
Fracture model for the prediction of the electrical percolation threshold in CNTs/Polymer composites
Yang SHEN, Pengfei HE, Xiaoying ZHUANG
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
Blind identification of threshold auto-regressive model for machine fault diagnosis
LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong
Journal Article
Multi-dimensional optimization for approximate near-threshold computing
Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn
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
The application of advanced threshold denoising tothe MMW target radiation signal
Fan Qinghui,Li Xingguo
Journal Article
Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status
Jian HUANG,Gui-xiong LIU
Journal Article
High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic threshold
Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG
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