Title :
Joining sensor systems for railway vehicle inspection
Author :
Maly, Thomas ; Rumpler, Michael ; Schweinzer, Herbert
Author_Institution :
Inst. of Electr. Measurements & Circuit Design, Vienna Univ. of Technol., Austria
Abstract :
In today\´s railway field, a number of stand-alone inspection systems are available and each of them addresses only one particular train fault-state. Our work describes a concept for integration of these systems into a complete "checkpoint" system with regard to the specific application range of railway vehicle inspection. In contrast to single fault-state detection systems, our concept of an overall system allows us to combine sensor information and to evaluate train fault-states from a more global view. Hence, it provides an abstract data representation for establishing a common data base. To achieve enhanced information combining sensor data of asynchronously working sensor systems, a tight association between measurements and their particular measurement ranges on the train is an elementary functionality. As a crucial aspect, the accuracy of train fault estimation can be proved by this system. Furthermore, the ability of the overall system in characterizing fault-states is discussed in detail.
Keywords :
checkpointing; data structures; inspection; railways; sensor fusion; checkpoint system; data representation; fault-state characterization; integrated railway sensor systems; railway vehicle inspection systems; sensor information combination; train fault estimation accuracy; Circuit faults; Circuit synthesis; Detectors; Electric variables measurement; Inspection; Monitoring; Particle measurements; Rail transportation; Sensor systems; Vehicles;
Conference_Titel :
Sensors, 2004. Proceedings of IEEE
Print_ISBN :
0-7803-8692-2
DOI :
10.1109/ICSENS.2004.1426087