Efficient Graphical Algorithm of Sensor Distribution and Air Volume Reconstruction for a Smart Mine Ventilation Network
出版年份 2022 全文链接
标题
Efficient Graphical Algorithm of Sensor Distribution and Air Volume Reconstruction for a Smart Mine Ventilation Network
作者
关键词
-
出版物
SENSORS
Volume 22, Issue 6, Pages 2096
出版商
MDPI AG
发表日期
2022-03-09
DOI
10.3390/s22062096
参考文献
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- (2021) Jian Li et al. MEASUREMENT
- A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy
- (2021) Yangtao Li et al. MEASUREMENT
- Reliability evaluation for ventilation system of gas tunnel based on Bayesian network
- (2021) Ping Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Multi-factor influence of cross-sectional airflow distribution in roadway with rough roof
- (2021) Jian-hua Hu et al. Journal of Central South University
- Identification of sources with abnormal radon exhalation rates based on radon concentrations in underground environments
- (2021) De Huang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Velocity-Free MS/AE Source Location Method for Three-Dimensional Hole-Containing Structures
- (2020) Longjun Dong et al. Engineering
- A hybrid-encoding adaptive evolutionary strategy algorithm for windage alteration fault diagnosis
- (2020) De Huang et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- LSTM based encoder-decoder for short-term predictions of gas concentration using multi-sensor fusion
- (2020) Pingyang Lyu et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Leakage detection techniques for oil and gas pipelines: State-of-the-art
- (2020) Hongfang Lu et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Novel Leakage detection and Water Loss Management of Urban Water Supply Network using Multiscale Neural Networks
- (2020) Xuan Hu et al. JOURNAL OF CLEANER PRODUCTION
- Optimization monitoring distribution method for gas pipeline leakage detection in underground spaces
- (2020) Zewei Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Quantitative Investigation of Tomographic Effects in Abnormal Regions of Complex Structures
- (2020) Longjun Dong et al. Engineering
- A realistic pathway for coal-fired power in China from 2020 to 2030
- (2020) Wenhua Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Energy efficient target coverage for a wireless sensor network
- (2020) S. Balaji et al. MEASUREMENT
- Novel non-destructive testing method using a two-electrode planar capacitive sensor based on measured normalized capacitance values
- (2020) Pengyuan Liang et al. MEASUREMENT
- Recent Advances in Sensing and Assessment of Corrosion in Sewage Pipelines
- (2020) Sahar Foorginezhad et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Characterizing pipe leakage with a combination of GPR wave velocity algorithms
- (2020) Peter King-Wah Lau et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Location of turning ratio and flow sensors for flow reconstruction in large traffic networks
- (2019) Martin Rodriguez-Vega et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Stability of air flows in mine ventilation networks
- (2019) M.A. Semin et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Solving Optimization of a Mine Gas Sensor Layout Based on a Hybrid GA-DBPSO Algorithm
- (2019) Dan Zhao et al. IEEE SENSORS JOURNAL
- Prediction of gas and coal spontaneous combustion coexisting disaster through the chaotic characteristic analysis of gas indexes in goaf gas extraction
- (2019) Yawei Song et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- An investigation on water quality variability and identification of ideal monitoring locations by using entropy based disorder indices
- (2018) Kunwar Raghvendra Singh et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Intelligent safety adjustment of branch airflow volume during ventilation-on-demand changes in coal mines
- (2017) Kai Wang et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- A novel wireless sensor network deployment scheme for environmental monitoring in longwall coal mines
- (2017) Lalatendu Muduli et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- On Efficient Deployment of Wireless Sensors for Coverage and Connectivity in Constrained 3D Space
- (2017) Chase Wu et al. SENSORS
- Assessment of mine ventilation systems and air pollution impacts on artisanal tanzanite miners at Merelani, Tanzania
- (2016) Laurent Paul Mayala et al. JOURNAL OF CLEANER PRODUCTION
- Improving tunnel resilience against fires: A new methodology based on temperature monitoring
- (2016) Paula Rinaudo et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Detection and on-line prediction of leak magnitude in a gas pipeline using an acoustic method and neural network data processing
- (2014) R. B. Santos et al. BRAZILIAN JOURNAL OF CHEMICAL ENGINEERING
- Statistical modeling and signal reconstruction processing method of EMF for slurry flow measurement
- (2014) Li-Ping Liang et al. MEASUREMENT
- Accurate Monitoring and Fault Detection in Wind Measuring Devices through Wireless Sensor Networks
- (2014) Komal Khan et al. SENSORS
- Non-planar hole-generated networks and link flow observability based on link counters
- (2014) Enrique Castillo et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A graphical approach to identify sensor locations for link flow inference
- (2013) Sheng-xue He TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Synergistic sensor location for link flow inference without path enumeration: A node-based approach
- (2012) ManWo Ng TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- The Observability Problem in Traffic Models: Algebraic and Topological Methods
- (2008) E. Castillo et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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