Case Study on FMECA and Risk Assessment for the Door System in High Speed Train

2013 ◽  
Vol 655-657 ◽  
pp. 2335-2339 ◽  
Author(s):  
Bi Hong Lu ◽  
Peng Hua ◽  
Zhen Liang Fu ◽  
Feng Gao
Keyword(s):  
Risk Assessment ◽  
High Speed ◽  
Failure Modes ◽  
Control Unit ◽  
High Speed Train ◽  
Locking Mechanism ◽  
Train Operation ◽  
Control Failure ◽  
Operation Risk

Based on the FMEA and risk assessment analysis method, authors proposed 25 kinds of failure modes about the door system of high-speed train, conducted a risk assessment from the risk grade and criticality. Four kinds of failure modes are obtained with the highest level of risk and criticality in the door system of high-speed train. They are control failure, communication failure, compensator failure and poor function. Four key components, affecting the door system safety of high-speed train, are identified in terms of door control unit, driving device, locking mechanism and platform compensator. Research outcomes can be used in analyzing the failure causes and specific solutions to reduce and avoid the high-speed train operation risk.

Notch-based speed trajectory optimisation for high-speed railway automatic train operation

2021 ◽  
pp. 095440972110421
Author(s):  
Minling Feng ◽  
Chaoxian Wu ◽  
Shaofeng Lu ◽  
Yihui Wang
Keyword(s):  
High Speed ◽  
Applied Force ◽  
Mixed Integer ◽  
High Speed Railway ◽  
Train Operation ◽  
Train Speed ◽  
Automatic Train Operation ◽  
The Impact ◽  
Trajectory Optimisation

Automatic train operation (ATO) systems are fast becoming one of the key components of the intelligent high-speed railway (HSR). Designing an effective optimal speed trajectory for ATO is critical to guide the high-speed train (HST) to operate with high service quality in a more energy-efficient way. In many advanced HSR systems, the traction/braking systems would provide multiple notches to satisfy the traction/braking demands. This paper modelled the applied force as a controlled variable based on the selection of notch to realise a notch-based train speed trajectory optimisation model to be solved by mixed integer linear programming (MILP). A notch selection model with flexible vertical relaxation was proposed to allow the traction/braking efforts to change dynamically along with the selected notch by introducing a series of binary variables. Two case studies were proposed in this paper where Case study 1 was conducted to investigate the impact of the dynamic notch selection on train operations, and the optimal result indicates that the applied force can be flexibly adjusted corresponding to different notches following a similar operation sequence determined by optimal train control theory. Moreover, in addition to the maximum traction/braking notches and coasting, medium notches with appropriate vertical relaxation would be applied in accordance with the specific traction/braking demands to make the model feasible. In Case study 2, a comprehensive numerical example with the parameters of CRH380AL HST demonstrates the robustness of the model to deal with the varying speed limit and gradient in a real-world scenario. The notch-based model is able to obtain a more realistic optimal strategy containing dynamic notch selection and speed trajectory with an increase (1.622%) in energy consumption by comparing the results of the proposed model and the non-notch model.

scholarly journals Future Perspective of Psychometric Assessment in Screening of Locomotive Drivers for High Speed Train Operation on Indian Railways

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Vishnu Kumar
Keyword(s):  
Risk Factors ◽  
High Speed ◽  
Future Perspective ◽  
Psychometric Assessment ◽  
High Speed Train ◽  
Safety Critical ◽  
Train Operation

Train operation at higher speed necessitates attentiveness, alertness and ability to respond promptly with precision and promptness for taking prudent decisions under dynamic situation of train driving. Proficiency and competence of locomotive drivers, their acumen and expertise to formulate strategies for dealing with the varying situations associated with operation of trains involve manifestation of specific cognitive, psychomotor and behavioural abilities, in absence of which their reliability becomes safety critical. Deployment of proficient drivers possessing appropriate attribute and apposite aptitude can be ensured through an efficient psychometric assessment and the process of assessment becomes crucial in minimizing safety critical risk factors and ensuring efficiency and safety in high speed train operation.

Open Innovation in France

2011 ◽  
pp. 308-329 ◽  
Author(s):  
Rachael J. Ritchie ◽  
Keith C. Culver
Keyword(s):  
21St Century ◽  
Open Innovation ◽  
High Speed ◽  
Innovation System ◽  
The State ◽  
High Speed Train ◽  
Innovation Cluster ◽  
National Competitiveness ◽  
Accelerate Development

France has long been associated with a state-directed “dirigiste” model of linear R&D focussed on large programmes such as development of the TGV high-speed train. Contemporary France has, however, largely left the state-centered model behind, introducing a range of devices since the turn of the 21st century aimed at opening French innovation to international and cross-sectoral collaboration for increased productivity and national competitiveness. This case study traces the opening of the French innovation system and the way one new academic, industrial and government collaboration aims to make use of new features of the system to accelerate development of an eco-innovation cluster focussed on cities of the future.

Fuzzy Hybrid FMEA for Risk Assessment in Service Industry

2021 ◽  
pp. 43-75
Author(s):  
Nihan Kabadayi
Keyword(s):  
Risk Assessment ◽  
Hospitality Industry ◽  
Failure Modes ◽  
Service Industry ◽  
Service Providers ◽  
Real Life ◽  
Potential Risks ◽  
Fmea Method ◽  
Organization Failure

Service products are mostly produced and consumed simultaneously through interaction between customer and service providers. To prevent external failures in service operations, it is important to identify potential risks and take relevant actions to eliminate or reduce the occurrence. Therefore, risk assessment is vital to customer satisfaction in any service organization. Failure mode and effects analysis (FMEA) is an effective and useful tool for risk assessment. Although FMEA has been extensively studied in the manufacturing literature, there are a limited number of studies considering the application of FMEA in the hospitality industry. In traditional FMEA, the risk priority of failure modes is determined by generating a crisp risk priority number (RPN). However, it has been claimed in the literature that crisp RPN doesn't have a good performance in reflecting real-life situations. To overcome this shortcoming, a fuzzy hybrid FMEA method is developed. The proposed method has been tested on a case study in a five-star hotel to assess its applicability and benefits.

Adaptive Fuzzy Planning of Optimal Speed Profiles for High-Speed Train Operation on the Basis of a Pareto Set

2016 ◽  
Vol 2546 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Wei ShangGuan ◽  
Juan Wang ◽  
Zhao Sheng ◽  
Xiao-Xuan Yu ◽  
Bai-Gen Cai ◽  
...  
Keyword(s):  
High Speed ◽  
Pareto Set ◽  
High Speed Train ◽  
Adaptive Fuzzy ◽  
Optimal Speed ◽  
Train Operation
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