Title :
In-vehicle data logging system for fatigue analysis of drive shaft
Author :
Ilic, Slobodan ; Katupitiya, Jayantha ; Tordon, Michal
Author_Institution :
Mech. Eng. Dept., New South Wales Univ., Sydney, NSW, Australia
Abstract :
The work presents a cost-effective custom-made data logging system for in-vehicle use. Based on the required bandwidth and accuracy of the torque signal a real-time data acquisition system for long-term data logging of torque signal has been designed and implemented. The system is based on a computer running Windows CE 3.0 operating system. Filtered input signal is sample by over-sampling data acquisition system. Data reduction is achieved by decimation and data compression. Three data compression methods are compared: two methods based on zero-order and first-order predictors and a piecewise linear approximation method followed by run-length and Huffman coding. Several error bands have been investigated in the data compression methods. Test result show that a system with 1 GB flash card can store over 10000 hrs of drive shaft load history data allowing signal reconstruction with satisfactory accuracy.
Keywords :
Huffman codes; approximation theory; data acquisition; data compression; data loggers; operating systems (computers); piecewise linear techniques; signal reconstruction; vehicles; Huffman coding; Windows CE 3.0 operating system; data compression; data reduction; decimation; fatigue analysis; invehicle data logging system; over sampling data acquisition system; piecewise linear approximation method; real time data acquisition system; run length coding; signal reconstruction; Bandwidth; Data acquisition; Data compression; Fatigue; Operating systems; Piecewise linear approximation; Real time systems; Shafts; Signal design; Torque;
Conference_Titel :
Robot Sensing, 2004. ROSE 2004. International Workshop on
Print_ISBN :
0-7803-8296-X
DOI :
10.1109/ROSE.2004.1317610