A5101499972- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Advanced machining processes and optimization
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Engineering Diagnostics and Reliability
- Metal and Thin Film Mechanics
- Reliability and Maintenance Optimization
- Industrial Vision Systems and Defect Detection
- Data Quality and Management
- Simulation and Modeling Applications
- Semiconductor materials and devices
- Higher Education and Teaching Methods
- Advanced Measurement and Detection Methods
- Gear and Bearing Dynamics Analysis
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Assembly Line Balancing Optimization
- Product Development and Customization
- Industrial Technology and Control Systems
- Hand Gesture Recognition Systems
- Teleoperation and Haptic Systems
- Advanced Algorithms and Applications
Harbin Institute of Technology
2015-2025
State Key Laboratory of Robotics and Systems
2012-2025
Heilongjiang Institute of Technology
2023
Zunyi Medical University
2020
Shanghai Polytechnic University
2005-2019
East China Normal University
2015-2016
John Wiley & Sons (United States)
2014
State Key Laboratory of Robotics
2013
Robotics Research (United States)
2012
Daqing Normal University
2011
Industry 4.0 can make a factory smart by applying intelligent information processing approaches, communication systems, future-oriented techniques, and more. However, the high complexity, automation, flexibility of an bring new challenges to reliability safety. Industrial big data generated multisource sensors, intercommunication within system external-related information, so on, might provide solutions for predictive maintenance improve reliability. This paper puts forth attributes...
This paper explores a method to assess assets performance and predict the remaining useful life, which would lead proactive maintenance processes minimize downtime of machinery production in various industries, thus increasing efficiency operations manufacturing. At first, model is established by taking advantage logistic regression analysis with maximum-likelihood technique. Two kinds application situations, or without enough historical data, are discussed detail. Then, real-time evaluated...
Real-time health monitoring of industrial components and systems that can detect, classify predict impending faults is critical to reducing operating maintenance cost. This paper presents a logistic regression based prognostic method for on-line performance degradation assessment failure modes classification. System condition evaluated by processing the information gathered from controllers or sensors mounted at different points in system, performed only when failure∕malfunction prognosis...
Epoxy resins are critical materials in aerospace applications, yet their mechanical properties, specifically the tensile modulus, can be significantly compromised when exposed to electron irradiation space environments. To thoroughly examine this degradation, we developed an integrated research approach combining vacuum experiments with multi-scale simulations. Coarse-grained (CG) and Monte Carlo (MC) methods were employed generate necessary models primary knock-on atom (PKA) data, while...
In the age of Internet Things and Industrial 4.0, new advanced methods need to be proposed analyse massive multi-source heterogeneous data from rotating machinery since traditional analysis are difficult mine features effectively provide accurate fault results automatically. This paper proposes a rotor unbalance diagnosis method using deep belief network (DBN) learn representative automatically accurately identify states. Multi-source information composed with vibration signal shaft orbit...
The internal logistics in the shop-floor is extremely sophisticated for variability and complexity of products Industry 4.0 environment. Cyber-Physical System (CPS) which combines computer science, information communication technologies a critical solution to achieve 4.0. To tackle with personalized production, high flexibility rapid reconfiguration capabilities are required shop-floor. Intralogistics-oriented CPS discussed this paper framework models cyber space equipment under environment...
Bearing fault diagnosis is of great significance to ensure the safe operation mechanical equipment. This paper proposes an intelligent method rolling bearings based on deep belief network (DBN) with hyperparameter optimization by using parallel computing. Different traditional methods that extract features manually depending much prior knowledge about signal processing techniques and diagnostic expertise, DBN extracts automatically machine learning mechanism. Considering time consuming...