TOWARDS MACHINE VISION BASED RAILWAY ASSETS PREDICTIVE MAINTENANCE
نویسندگان
چکیده
منابع مشابه
Model Predictive Control for Maintenance Operations Planning of Railway Infrastructures
This paper develops a new decision making method for optimal planning of railway maintenance operations using hybrid Model Predictive Control (MPC). A linear dynamic model is used to describe the evolution of the health condition of a segment of the railway track. The hybrid characteristics arise from the three possible control actions: performing no maintenance, performing corrective maintenan...
متن کاملSingle-machine Multiple-recipe Predictive Maintenance
This paper studies a multiple-recipe predictive maintenance problem with M/G/1 queueing e ects. The server degrades according to a discrete-time Markov chain and we assume that the controller knows both the machine status and the current number of jobs in the system. The controller's objective is to minimize total discounted costs or long-run average costs which include preventative and correct...
متن کاملMachine vision for automated inspection of railway traffic recordings
For the 9000 train accidents reported each year in the European Union [1], the Recording Strip (RS) and Filling-Card (FC) related to the train activities represent the only usable evidence for SNCF (the French railway operator) and most of National authorities. More precisely, the RS contains information about the train journey, speed and related Driving Events (DE) such as emergency brakes, wh...
متن کاملE-Prognostics: A step towards E-Maintenance ofEngineering Assets
Reliability of manufacturing or production processes is heavily dependent upon the flawless operation of asset plant and equipment utilised in the processes. Nevertheless, continuous and seamless flow of information, aimed at real time access to process stakeholders provides the foundation for effective management of these assets. An essential requirement in this regard is the continuous availa...
متن کاملToward predictive machine learning for active vision
We develop a comprehensive description of the active inference framework, as proposed by Friston (2010), under a machine-learning compliant perspective. Stemming from a biological inspiration and the auto-encoding principles, a sketch of a cognitive architecture is proposed that should provide ways to implement estimation-oriented control policies under a POMDP perspective. Computer simulations...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Facta Universitatis, Series: Automatic Control and Robotics
سال: 2020
ISSN: 1820-6425,1820-6417
DOI: 10.22190/fuacr2002125c