|
|
|
|
|
Chun-Yao Lee and Wen-Cheng Lin
This study proposes a fast correlation-based filter with particle-swarm optimization method. In FCBF?PSO, the weights of the features selected by the fast correlation-based filter are optimized and combined with backpropagation neural network as a classi...
ver más
|
|
|
|
|
|
|
|
|
Matteo D?Aloia, Annalisa Longo and Maria Rizzi
Cardiac signal processing is usually a computationally demanding task as signals are heavily contaminated by noise and other artifacts. In this paper, an effective approach for peak point detection and localization in noisy electrocardiogram (ECG) signal...
ver más
|
|
|
|
|
|
|
|
|
Yongqiang Duan, Chengdong Wang, Yong Chen and Peisen Liu
The fault frequencies are as they are and cannot be improved. One can only improve its estimation quality. This paper proposes a fault diagnosis method by combining local mean decomposition (LMD) and the ratio correction method to process the short-time ...
ver más
|
|
|
|
|
|
|
|
|
Abdollah Malekjafarian, Eugene OBrien, Paraic Quirke and Cathal Bowe
This paper investigates the use of drive-by train measurements for railway track monitoring. An in-service Irish Rail train was instrumented while using accelerometers and a global positioning system. The measurements were taken over two months and the t...
ver más
|
|
|
|
|
|
|
|
|
Maria Barroso-Romero, Daniel Gagar, Shashank Pant and Marcias Martinez
Acoustic Emission (AE) monitoring can be used to detect and locate structural damage such as growing fatigue cracks. The accuracy of damage location and consequently the inference of its significance for damage assessment is dependent on the wave propaga...
ver más
|
|
|
|