Scopes
Topic 1: Reliability based System Design and Modeling
Design of data-driven reliability model
Using R&M technology for design optimization
Discrete Event Modeling and Simulation
Status monitoring, diagnosis, and prediction
Maintenance support modeling and simulation
Reliability modeling and validation
Reliability requirements and growth model
Accelerated life testing
Maintain models and methods
Physical reliability model
Reliability analysis and optimization
Reliability Growth Analysis
Reliability measurement, estimation, and prediction
Statistical analysis of uncertainty
Non destructive assessment
Reliability based design and regulations
Reliability based optimization and control reliability theory
Structural health monitoring
Random fracture mechanics
System reliability transportation system
Mechanical fatigue damage
Topic 2: Machine Learning and Data Analysis in Reliable Engineering
Fault tree analysis
Reliability testing and statistics
Reliability assessment supported by big data
Fault tolerance and diagnosis
Fault tolerant and safety critical systems
Life Data Analysis
Machine learning related to reliability
Probabilistic Material Analysis
Probabilistic risk analysis method
Probability Theory and Statistics (Theory and Applications)
Damage analysis and assessment
Data-driven modeling
Applied Probability
Bayesian method
Method of calculation
Fuzzy interval analysis
Risk analysis based on machine learning
Warranty data analysis and management
Uncertainty quantification and analysis
Failure Physics
Topic 3: Product Reliability Assessment and Management
Reliability Theory and Application
Structural reliability
Risk assessment and management
Product reliability and safety assessment
Software reliability and testing
Reliability tools for product development
Economic Model of R&M Equipment
Quality Safe
Environmental risk assessment
Inspection, Quality Control, and Assurance
Insurance, Reinsurance, and Risk Management
Lifecycle performance analysis and cost
Life extension
Lifeline risk assessment
Load and load combination
Loss analysis
Safety and reliability analysis
System safety analysis
Testing and simulation
Trustworthiness evaluation
Monitoring and maintenance system
Product Warranty
Environmental testing and evaluation
Security Analysis and Management
Electronic maintenance
Equipment management and maintenance
Topic 4: Engineering Reliability Maintenance and Safety Management
Reliability and performance based on architecture and design
Strategic Asset Management
Asset fleet management
Quality Engineering
Quality assurance and cost issues
Design of Quality Control Experiment
Total Quality Management Technology
System Health and Analysis
prognostics and health management
condition based maintenance
Reliability centered maintenance
Diagnosis and prognosis
Process improvement and maintenance
Prognosis and Health Management
R&M management
Redundancy technology
Fatigue and fracture
Risk Analysis Based on Geographic Information Systems
Hazard analysis
Maintaining new technologies: robotics, virtual reality, and additive manufacturing
Lifecycle Management and Services
System integrity management
Repairable System
Risk analysis and management
Human and Organizational Factors Engineering
Risk analysis and risk informed decision-making
Risk perception and communication
Design of data-driven reliability model
Using R&M technology for design optimization
Discrete Event Modeling and Simulation
Status monitoring, diagnosis, and prediction
Maintenance support modeling and simulation
Reliability modeling and validation
Reliability requirements and growth model
Accelerated life testing
Maintain models and methods
Physical reliability model
Reliability analysis and optimization
Reliability Growth Analysis
Reliability measurement, estimation, and prediction
Statistical analysis of uncertainty
Non destructive assessment
Reliability based design and regulations
Reliability based optimization and control reliability theory
Structural health monitoring
Random fracture mechanics
System reliability transportation system
Mechanical fatigue damage
Topic 2: Machine Learning and Data Analysis in Reliable Engineering
Fault tree analysis
Reliability testing and statistics
Reliability assessment supported by big data
Fault tolerance and diagnosis
Fault tolerant and safety critical systems
Life Data Analysis
Machine learning related to reliability
Probabilistic Material Analysis
Probabilistic risk analysis method
Probability Theory and Statistics (Theory and Applications)
Damage analysis and assessment
Data-driven modeling
Applied Probability
Bayesian method
Method of calculation
Fuzzy interval analysis
Risk analysis based on machine learning
Warranty data analysis and management
Uncertainty quantification and analysis
Failure Physics
Topic 3: Product Reliability Assessment and Management
Reliability Theory and Application
Structural reliability
Risk assessment and management
Product reliability and safety assessment
Software reliability and testing
Reliability tools for product development
Economic Model of R&M Equipment
Quality Safe
Environmental risk assessment
Inspection, Quality Control, and Assurance
Insurance, Reinsurance, and Risk Management
Lifecycle performance analysis and cost
Life extension
Lifeline risk assessment
Load and load combination
Loss analysis
Safety and reliability analysis
System safety analysis
Testing and simulation
Trustworthiness evaluation
Monitoring and maintenance system
Product Warranty
Environmental testing and evaluation
Security Analysis and Management
Electronic maintenance
Equipment management and maintenance
Topic 4: Engineering Reliability Maintenance and Safety Management
Reliability and performance based on architecture and design
Strategic Asset Management
Asset fleet management
Quality Engineering
Quality assurance and cost issues
Design of Quality Control Experiment
Total Quality Management Technology
System Health and Analysis
prognostics and health management
condition based maintenance
Reliability centered maintenance
Diagnosis and prognosis
Process improvement and maintenance
Prognosis and Health Management
R&M management
Redundancy technology
Fatigue and fracture
Risk Analysis Based on Geographic Information Systems
Hazard analysis
Maintaining new technologies: robotics, virtual reality, and additive manufacturing
Lifecycle Management and Services
System integrity management
Repairable System
Risk analysis and management
Human and Organizational Factors Engineering
Risk analysis and risk informed decision-making
Risk perception and communication
Important Dates/重要日期
- Submission Deadline: 2025.6.20
- Registration Deadline: 2025.6.25
- Conference Date: 2025.7.10
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: ei_dseasc@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
唐老师
+86-17168296597(微信同号)
3264234551
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