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View article: A Deep Learning-Based Method for Mechanical Equipment Unknown Fault Detection in the Industrial Internet of Things
A Deep Learning-Based Method for Mechanical Equipment Unknown Fault Detection in the Industrial Internet of Things Open
With the development of the Industrial Internet of Things (IIoT) technology, fault diagnosis has emerged as a critical component of its operational reliability, and machine learning algorithms play a crucial role in fault diagnosis. To ach…
View article: A Novel Sensor Deployment Strategy Based on Probabilistic Perception for Industrial Wireless Sensor Network
A Novel Sensor Deployment Strategy Based on Probabilistic Perception for Industrial Wireless Sensor Network Open
The rapid development of Industrial Internet of Things (IIoT) technology has highlighted the critical role of wireless sensor networks in enabling intelligent production and equipment monitoring. Effective sensor deployment is essential fo…
View article: HiCPC: A new 10-km CMIP6 downscaled daily climate projections over China
HiCPC: A new 10-km CMIP6 downscaled daily climate projections over China Open
Accurate climate projections are critical for various applications and impact assessments in environmental science and management. This study presents HiCPC (High-resolution CMIP6 downscaled daily Climate Projections over China), a novel d…
View article: Evaluation of precipitation extremes over the Tibetan plateau using the NASA global daily downscaled datasets NEX-GDDP-CMIP6
Evaluation of precipitation extremes over the Tibetan plateau using the NASA global daily downscaled datasets NEX-GDDP-CMIP6 Open
The utility of statistically downscaled data is in its provision of detailed, high-resolution insights, surpassing global models, which is essential for precise assessments of climate impact. This study delves into the changes in extreme p…
View article: Liquid metal and Mxene enable self-healing soft electronics based on double networks of bacterial cellulose hydrogels
Liquid metal and Mxene enable self-healing soft electronics based on double networks of bacterial cellulose hydrogels Open
Liquid metal (LM) nanodroplets and MXene nanosheets are integrated with sulfonated bacterial nanocellulose (BNC) and acrylic acid (AA). Upon fast sonication, AA polymerization leads to a crosslinked composite hydrogel in which BNC exfoliat…
View article: Evaluation and comparison of CMIP6 and CMIP5 models performance in simulating the runoff
Evaluation and comparison of CMIP6 and CMIP5 models performance in simulating the runoff Open
This study evaluates and compares the performance of Coupled Model Intercomparison Project Phase 6 (CMIP6) and CMIP5 in simulating the runoff on global scale and eight large-scale basins, over the period 1981–2005 using percent bias (PBIAS…
View article: Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China
Evaluation of global gridded crop models (GGCMs) for the simulation of major grain crop yields in China Open
Multimodel ensembles are powerful tools for evaluating agricultural production. Multimodel simulation results provided by the Global Gridded Crop Model Intercomparison (GGCMI) facilitate the evaluation of the grain production situation in …
View article: Wind Speed Forecast Based on Post-Processing of Numerical Weather Predictions Using a Gradient Boosting Decision Tree Algorithm
Wind Speed Forecast Based on Post-Processing of Numerical Weather Predictions Using a Gradient Boosting Decision Tree Algorithm Open
With the large-scale development of wind energy, wind power forecasting plays a key role in power dispatching in the electric power grid, as well as in the operation and maintenance of wind farms. The most important technology for wind pow…
View article: Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China
Applying Satellite Data Assimilation to Wind Simulation of Coastal Wind Farms in Guangdong, China Open
With the development of the wind power industry in China, accurate simulation of near-surface wind plays an important role in wind-resource assessment. Numerical weather prediction (NWP) models have been widely used to simulate the near-su…
View article: Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index
Identification of Hydrological Drought in Eastern China Using a Time-Dependent Drought Index Open
Long records (1960–2013) of monthly streamflow observations from 8 hydrological stations in the East Asian monsoon region are modeled using a nonstationarity framework by means of the Generalized Additive Models in Location, Scale and Shap…
View article: Variation of Vegetation Ecological Water Consumption and Its Response to Vegetation Coverage Changes in the Rocky Desertification Areas in South China
Variation of Vegetation Ecological Water Consumption and Its Response to Vegetation Coverage Changes in the Rocky Desertification Areas in South China Open
Over the past several decades, rocky desertification has led to severe ecological problems in karst areas in South China. After a rocky desertification treatment project was completed, the vegetation coverage changed greatly and, consequen…
View article: Adaptability evaluation of TRMM over the Tianshan Mountains in central Asia
Adaptability evaluation of TRMM over the Tianshan Mountains in central Asia Open
Accurate precipitation in mountain area is very important for evaluating the hydrological process and ecological problem. With the satellite data having been widely used in the past few decades, adaptability evaluation becomes the principl…
View article: Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis
Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis Open
Runoff is a major component of the water cycle, and its multi-scale fluctuations are important to water resources management across arid and semi-arid regions. This paper coupled the Distributed Time Variant Gain Model (DTVGM) into the Com…