This paper summarizes the research results dealing with washer and nut taxonomy and knowledge base design, making the use of fuzzy methodology. In particular, the theory of fuzzy membership functions, similarity matri...This paper summarizes the research results dealing with washer and nut taxonomy and knowledge base design, making the use of fuzzy methodology. In particular, the theory of fuzzy membership functions, similarity matrices, and the operation of fuzzy inference play important roles.A realistic set of 25 washers and nuts are employed to conduct extensive experiments and simulations.The investigation includes a complete demonstration of engineering design. The results obtained from this feasibility study are very encouraging indeed because they represent the lower bound with respect to performance, namely correctrecognition rate, of what fuzzy methodology can do. This lower bound shows high recognition rate even with noisy input patterns, robustness in terms of noise tolerance, and simplicity in hardware implementation. Possible future works are suggested in the conclusion.展开更多
文摘This paper summarizes the research results dealing with washer and nut taxonomy and knowledge base design, making the use of fuzzy methodology. In particular, the theory of fuzzy membership functions, similarity matrices, and the operation of fuzzy inference play important roles.A realistic set of 25 washers and nuts are employed to conduct extensive experiments and simulations.The investigation includes a complete demonstration of engineering design. The results obtained from this feasibility study are very encouraging indeed because they represent the lower bound with respect to performance, namely correctrecognition rate, of what fuzzy methodology can do. This lower bound shows high recognition rate even with noisy input patterns, robustness in terms of noise tolerance, and simplicity in hardware implementation. Possible future works are suggested in the conclusion.
文摘由于兰姆波具有频散效应,使得其信号形式较为复杂、分析困难,这就为损伤监测中的模式波包提取带来了很大的难度。利用希尔伯特-黄变换(Hilbert-Huang Transform,HHT)对信号包络进行提取,可以达到简化原始信号、提高损伤监测精度和效率的目的。与利用短时傅里叶变换(Short Time Fourier Transform,STFT)提取信号包络的方法相比,希尔伯特-黄变换的自适应性更强、效率更高,更适合兰姆波分析。通过对铝制薄板中的裂纹扩展监测试验表明,结合了希尔伯特-黄变换的损伤指数法,对兰姆波信号的模式提取更为准确、对裂纹的扩展也更为敏感。
