Open AccessReview study of irregularity track monitoring based on inertial measure unit and power spectral density analysis
Author(s) -
Istiar,
Hera Widyastuti
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/650/1/012046
Subject(s) - track (disk drive) , track geometry , computer science , measure (data warehouse) , spectral density , dirt , limit (mathematics) , inertial measurement unit , simulation , engineering , data mining , artificial intelligence , mathematics , telecommunications , mechanical engineering , mathematical analysis , operating system
The maintenance of railway in Indonesia is determined by the track quality index (TQI). Analysed of TQI is based on track geometric inspection data. Currently, track geometric inspection uses a Track Geometric Vehicle (TGV) or Track Recorded Vehicle (TRV). The TRV’s provide accurate geometry measurements. But, it was expensive to run, may disrupt regular train services during their operation, need for occupation of track limit the number of measurement operations undertaken annually and optical sensors are sensitive to the dirt, found in the railway environment. TRV’s data was analysed by statistical function of the standard deviation to determine of TQI. TQI has some disadvantages, for example, it cannot represented the wavelength contents of the geometry defect, which is related to the particular issue in train-track interaction. Therefore, it is necessary to propose effective, efficient and reliable track quality assessment method. This paper will review some irregularity track monitoring methods that were probably used to track monitoring in Indonesia.