Predicting vertical acceleration of railway wagons using regression algorithms

IEEE Transactions on Intelligent Transportation Systems

Volumn 11, Issue 2, 2010, Pages 290-299

  Shafiullah, G M ^a   Ali, A B M Shawkat ^a   Thompson, Adam ^a   Wolfs, Peter J ^b  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

Fast Fourier transform (FFT); Railway wagons; Regression algorithm; Vertical acceleration

Indexed keywords

ABSOLUTE ERROR; ACCELERATION BEHAVIOR; ACCELERATION CONDITION; CORRELATION COEFFICIENT; DYNAMIC BEHAVIORS; ESTIMATION TECHNIQUES; FORECASTING MODELS; INTELLIGENT MONITORING SYSTEMS; LATERAL INSTABILITY; MEAN ABSOLUTE ERROR; MODERN MACHINES; RAIL VEHICLES; RAILWAY SYSTEM; RAILWAY TRACK; REGRESSION ALGORITHM; REGRESSION ALGORITHMS; ROOT MEAN SQUARE ERRORS; SIGNALS AND SYSTEMS; SPECTRAL ANALYSIS; SQUARED ERRORS; STATISTICAL HYPOTHESIS; TRACK IRREGULARITY; VERTICAL ACCELERATIONS;

ACCELERATION; AUTOMOBILE BODIES; AUTOMOBILE PARTS AND EQUIPMENT; BOGIES (RAILROAD ROLLING STOCK); COMPUTATIONAL COMPLEXITY; FAST FOURIER TRANSFORMS; LEARNING ALGORITHMS; LOCOMOTIVES; RAILROAD CARS; RAILROAD TRACKS; RAILROADS; REGRESSION ANALYSIS; SPECTRUM ANALYSIS; SPECTRUM ANALYZERS; VEHICLES;

RAILS;

EID: 77953124063     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2010.2041057     Document Type: Article

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