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Outlier detection is a key technique in data ming and machine learning fields. The deviating characters of outliers make huge detrimental effects on the learning tasks. A lot of algorithms are therefore proposed to handle outliers from different perspectives, such as distance, density, angle and so on. Among these approaches, the density-based methods achieve better performance, but also suffer from...
This paper presents the results of a detailed experimental investigation of the abnormal vibration of the electric locomotive. A locomotive suffered from serious vibration problem was chosen for the test and its normal operations kept unchanged during the test. The wheel out-of-roundness (OOR) and vibrations of key components including the axle box, the bogie frame and the car body were measured before...
In this article, a control scheme is designed for the vibration attenuation of an axially moving accelerated/decelerated system. Applying S-curve acceleration/deceleration method and backstepping technique, a boundary control is constructed to stabilize the system and sign function is employed to handle unknown boundary disturbance. The bounded stability of the controlled system is achieved through...
This article presents a boundary control for the vibration reduction of an axially moving belt with high acceleration/deceleration in the presence of unknown disturbances. The nonhomogeneous infinite-dimensional model of the belt system is obtained via the extended Hamilton's principle. In an appropriate mathematical manner, the Lyapunov's direct method is adopted to construct a control law for the...
Life prediction is one of the newly arisen key technology for promoting the reliability and quality of electronic products. But, the effect of the prevalent life prediction methods is not satisfactory; most of them are on the stage of theoretical research and lack of engineering practicability. In this paper, a methodology of life prediction based on accelerated degradation testing is introduced....
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