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Full-Text Articles in Science and Technology Studies
An Application Of Nonlinear Feature Extraction – A Case Study For Low Speed Slewing Bearing Condition Monitoring And Prognosis, Wahyu Caesarendra, Prabuono Buyung Kosasih, A K. Tieu, Craig Moodie
An Application Of Nonlinear Feature Extraction – A Case Study For Low Speed Slewing Bearing Condition Monitoring And Prognosis, Wahyu Caesarendra, Prabuono Buyung Kosasih, A K. Tieu, Craig Moodie
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents the application of four nonlinear methods of feature extraction in slewing bearing condition monitoring and prognosis: these are largest Lyapunov exponent, fractal dimension, correlation dimension, and approximate entropy methods. Although correlation dimension and approximate entropy methods have been used previously, the largest Lyapunov exponent and fractal dimension methods have not been used in vibration condition monitoring to date. The vibration data of the laboratory slewing bearing test-rig run at 1 rpm was acquired daily from February to August 2007 (138 days). As time progressed, a more accurate observation of the alteration of bearing condition from normal to …
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Condition Monitoring Of Slow Speed Slewing Bearing Based On Largest Lyapunov Exponent Algorithm And Circular-Domain Feature Extractions, Wahyu Caesarendra, Prabuono Buyung Kosasih, A Kiet Tieu, Craig A. S Moodie
Faculty of Engineering and Information Sciences - Papers: Part A
This paper presents a combined nonlinear and circular features extraction-based condition monitoring method for low speed slewing bearing. The proposed method employs the largest Lyapunov exponent (LLE) algorithm as a signal processing method based on vibration data. LLE is used to detect chaos existence in vibration data in discrete angular positions of the shaft. From the processed data, circular features such as mean, skewness and kurtosis are calculated and monitored. It is shown that the onset and the progressively deteriorating bearing condition can be detected more clearly in circular-domain features compared to time-domain features. The application of the method is …
Performance Monitoring Of Rail Tracks Stabilized By Geosynthetics And Shock Mats: Case Studies At Bulli And Singleton In Australia, Buddhima Indraratna, Sanjay Nimbalkar, Pongpipat Anantanasakul, Cholachat Rujikiatkamjorn, Tim Neville
Performance Monitoring Of Rail Tracks Stabilized By Geosynthetics And Shock Mats: Case Studies At Bulli And Singleton In Australia, Buddhima Indraratna, Sanjay Nimbalkar, Pongpipat Anantanasakul, Cholachat Rujikiatkamjorn, Tim Neville
Faculty of Engineering and Information Sciences - Papers: Part A
Rail tracks are conventionally built on compacted ballast and structural fill embankments overlying the natural subsoil. Ballast plays an important role in providing track stiffness to support heavy traffic loads, and providing rapid drainage. However, ballast deforms and degrades progressively under the heavy cyclic loading of passenger and freight trains, which may lead to a loss of track geometry, and require costly regular maintenance. In particular, track construction requires appropriate stabilization techniques for ballast, the extent of which depends also on the type of subgrade. Comprehensive field trials were carried out on two rail lines in Bulli and recently in …