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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    

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Study on online monitoring method for flood discharge structure damage based on Hilbert-Huang Transform

Lian Jijian,Li Chengye,Liu Fang,Ma Bin

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 38-44

Abstract: because of the η i differences between undamaged and damaged situations, we determine the structure anomalyindexes and the warning threshold.Finally, having been calculating the anomaly indexes of adjacent time periods, the damage online monitoringThe results from the numerical simulation test of a guide wall demonstrate that the anomaly indexes mentioned

Keywords： flood discharge structure     Hilbert-Huang Transform     the energy distribution vector     anomaly index     warningthreshold     numerical simulation    

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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

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 231-240 doi: 10.15302/J-FASE-2016101

Abstract: system is suitable when surface water mining ratio is in 47.84%–48.04% and the groundwater exploitation threshold

Keywords： economic-social-ecological     uncertainty     harmonious entropy     surface water and groundwater     utilization threshold    

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Approaching the commercial threshold of solar water splitting toward hydrogen by III-nitrides nanowires

Frontiers in Energy doi: 10.1007/s11708-023-0870-z

Abstract: Approaching the commercial threshold of solar water splitting toward hydrogen by III-nitrides nanowires

Keywords： threshold solar water     splitting hydrogen III    

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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:

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    

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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

Abstract: In this paper, we propose a 3D stochastic model to predict the percolation threshold and the effective

Keywords： electrical percolation     CNTs/Polymer composites     fracture model     electric conductivity     tunnelling effects    

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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    

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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

Abstract: A blind identification method was developed for the threshold auto-regressive (TAR) model.

Keywords： speed-up     classifier     practical     extraction     experiment    

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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

Abstract: As transistors operating in the near-threshold region are able to obtain flexible trade-offs between
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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 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    

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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

Abstract: For a given threshold value, the wavelet coefficient which is smaller than the threshold is set zeroand the wavelet coefficient which is larger than the threshold is set the difference between the coefficient

Keywords： The application of advanced threshold denoising tothe MMW target radiation signal    

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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

Abstract: A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm

Keywords： multi-color space     k-nearest neighbor algorithm (k-NN)     self-learning     surge test    

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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

Abstract: screen high-emission vehicles in time with a long interval between annual inspections, and the fixed threshold

Keywords： High-emitter identification     Temporal optimization     On-board diagnostic device (OBD)     Dynamic threshold    

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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: Motivated by these concerns, we propose a non-invasive powerbased anomaly detection scheme for PLCs.

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

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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

Abstract: fire using the ground remote sensing technique, and presented the reasonable evaluation of thermal anomaly

Keywords： coal field fire     thermal anomaly     temperature     small-scale     remote sensing    

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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

Small-scale area survey and analyses of Xinjiang’s coal field fire in China

Zhong Maohua,Fu Tairan,Hu Zhongbin

Journal Article