A quantitative detection method for stress corrosion cracks in turbine discs using a BPSO-RBFNN model
暂无分享,去创建一个
[1] D. K. Mak. ULTRASONIC METHODS FOR MEASURING CRACK LOCATION, CRACK HEIGHT AND CRACK ANGLE , 1985 .
[2] Hongwei Zhou,et al. Box-counting methods to directly estimate the fractal dimension of a rock surface , 2014 .
[3] Haider Banka,et al. A binary PSO feature selection algorithm for gene expression data , 2015, 2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014).
[4] V. V. Gravirov,et al. Use of artificial neural networks for classification of noisy seismic signals , 2017, Seismic Instruments.
[5] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[6] Tsuyoshi Mihara,et al. Ultrasonic Measurement of Closed Stress Corrosion Crack Depth Using Subharmonic Phased Array , 2009 .
[7] Bin Zhang,et al. Envelope Extraction of Anaesthesia Breathing Sound Signal on Hilbert Huang Transform , 2012 .
[8] Ranjan Ganguli,et al. Structural damage detection in a helicopter rotor blade using radial basis function neural networks , 2003 .
[9] Rene de Jesus Romero-Troncoso,et al. Fractal dimension and fuzzy logic systems for broken rotor bar detection in induction motors at start-up and steady-state regimes , 2017 .
[10] M. Certo,et al. DGS curve evaluation applied to ultrasonic phased array testing , 2010 .
[11] Diego Cabrera,et al. Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal , 2015, Sensors.
[12] Satchidananda Dehuri,et al. Feature selection model based on clustering and ranking in pipeline for microarray data , 2017 .
[13] Luis Héctor Hernández-Gómez,et al. High resolution non-destructive evaluation of defects using artificial neural networks and wavelets , 2012 .
[14] Seung-Han Yang,et al. Using phased array ultrasonic technique for the inspection of straddle mount-type low-pressure turbine disc , 2009 .
[15] Jung-Ryul Lee,et al. Structural health monitoring for a wind turbine system: a review of damage detection methods , 2008 .
[16] Foad Nazari,et al. Three Dimensional Natural Frequency Analysis of Sandwich Plates with Functionally Graded Core Using Hybrid Meshless Local Petrov-Galerkin Method and Artificial Neural Network , 2015 .
[17] Xianghong Wang,et al. Acoustic emission detection for mass fractions of materials based on wavelet packet technology. , 2015, Ultrasonics.
[18] J. Dudczyk,et al. A method of feature selection in the aspect of specific identification of radar signals , 2017 .
[19] S. Sambath,et al. Automatic Defect Classification in Ultrasonic NDT Using Artificial Intelligence , 2011 .
[20] Akira Morita,et al. Evaluation of corrosion fatigue crack propagation life at low-pressure steam turbine rotor groove , 2006 .
[21] X P Zhong,et al. Study on Corrosion-induced Crack Initiation and Propagation of Sustaining Loaded RCbeams , 2018 .
[22] S. Palanisamy,et al. Defect characterisation in laminar composite structures using ultrasonic techniques and artificial neural networks , 2016 .
[23] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Shicheng Wei,et al. The study of a novel ultrasonic A-scan signal processing method based on fractal theory , 2017 .
[25] Xiaolin Liang,et al. Threshold Selection Algorithm Based on Skewness and Standard Deviation Using Back Propagation Artificial Neural Networks in the 60GHz Wireless Communication Systems , 2016 .
[26] Shijiu Jin,et al. Crack Orientation and Depth Estimation in a Low-Pressure Turbine Disc Using a Phased Array Ultrasonic Transducer and an Artificial Neural Network , 2013, Sensors.
[27] Mark Sutcliffe,et al. Automatic defect recognition of single-v welds using full matrix capture data, computer vision and multi-layer perceptron artificial neural networks , 2016 .
[28] Luquan Ren,et al. Defect intelligent identification in resistance spot welding ultrasonic detection based on wavelet packet and neural network , 2016, The International Journal of Advanced Manufacturing Technology.