Shaoping Wang

dblp:01/2826 · DBLP profile ↗
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6ranked-venue papers in the field
0as first author
5since 2021 · last 2026
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Other / Interdisciplinary · 4Knowledge Engineering, Semantic Web & Information Systems · 2
YearPublicationVenuePosition
2026 Industrial IoT-driven condition-based maintenance plus for complex system with multiple dependencies
Yaohui Lu, Shaoping Wang, Chao Zhang 0027, Rentong Chen, Hongyan Dui
Adv. Eng. Informatics2
2025 A degradation modeling method based on artificial neural network supported Tweedie exponential dispersion process
Zhongze He, Shaoping Wang, Di Liu 0012
Adv. Eng. Informatics2
2025 Fault dissipated energy based fault coupling modelling and reliability evaluation: A case study on wet motor-pump assembly
Yajing Qiao, Shaoping Wang, Mo Tao, Siming Fan, Rentong Chen
Adv. Eng. Informatics2
2025 A Multiobjective Optimization Method for Collecting and Releasing Processes of Winch System Considering Wave Disturbance and Control Laws
abstract
The winch’s performance under complex sea conditions is significantly influenced by its collecting and releasing processes. To enhance its performance and reliability, an optimization approach considering wave disturbances and control laws is proposed to balance time efficiency and tension stability. Within a multiobjective optimization framework, the method designs constant tension control and robust adaptive speed control and introduces sinusoidal acceleration trajectories to minimize tension surges and reduce system impacts caused by rapid starts/stops. The constant tension controller reduces wave disturbances, while the speed controller manages the working process. These controllers are designed with unknown reference signals determined during the optimization process. Additionally, the objective functions in the optimization phase aim to reduce working time and tension fluctuations, with constraints ensuring system safety and mission requirements. Furthermore, an experimental platform constructed on a ship validates the accuracy of the winch model. The optimized process not only shortens operational time, as collecting same length only consumption 127.44 s compared 143.14 s without optimization, but also reduces tension and acceleration. More importantly, transitions between states become more gradual. This indicates that the proposed method is both time‐efficient and effective in dampening tension fluctuations and mitigating the effects of abrupt changes during the working process.
Xiaochuan Duan, Shaoping Wang, Di Liu 0012, Yaoxing Shang
Int. J. Intell. Syst.2
2021 Information space of multi-sensor networks
Mo Tao, Shaoping Wang
Inf. Sci.2
2020 An evidence theory based model fusion method for degradation modeling and statistical analysis
Di Liu 0012, Shaoping Wang, Mileta M. Tomovic, Chao Zhang 0027
Inf. Sci.2