fuzzy neural network and wavelet for tool condition monitoring

... 15 Fuzzy Neural Network and Wavelet for Tool Condition Monitoring 15.1 15.2 15.3 15.4 15.5 Xiaoli Li Harbin Institute of Technology Introduction Fuzzy Neural Network Wavelet Transforms Tool ... Transforms Tool Breakage Monitoring with Wavelet Transforms Identification of Tool Wear States Using Fuzzy Methods 15.6 Tool Wear Monitoring with Wavelet Transforms and Fuzzy Neural Network 15.1 Introduction ... as wavelet transforms [2], fuzzy inference [3–5], fuzzy neural networks [6–9], etc., have been established, in which all forms of tool condition can be monitored Fuzzy systems and neural networks...

Ngày tải lên: 23/01/2014, 01:20

Ngày tải lên: 09/09/2015, 10:14

... analysis and the condition monitoring information Therefore, they can reach a relative long prediction horizon AI models include Neural Network (NN) and its variants, for example, polynomial neural networks ... 2.1.2 Overview of Tool Condition Monitoring Tool condition monitoring (TCM) aims at identifying and predicting the cutting tool state, by apply appropriate sensor signal processing and pattern recognition ... result 1.3 Objectives The purpose of a tool condition monitoring system (TCM) is primarily to provide tool condition information for making decision on tool replacement It can also enable optimal...

Ngày tải lên: 09/09/2015, 10:14

... a finite set of features for representing the derivation history The method is a form of multi-layered artificial neural network called Simple Synchrony Networks (Lane and Henderson, 2001; Henderson, ... training parameters and network size based on our previous experience with networks similar to the models Tags and Freq>200, which had been trained and evaluated on the same training and validation ... ability of neural network probability estimation to scale up to large datasets, unrestricted structures, and fairly large vocabularies References Christopher M Bishop 1995 Neural Networks for Pattern...

Ngày tải lên: 24/03/2014, 03:20

... MODE DETECTION BY A FUZZY MORPHOLOGICAL TRANSFORMATION OF THE sccf Introduction Basic binary morphological tools have proved to be suited for object segmentation [24] and for nonglobular mode ... ones 4.5 Fuzzy morphological transformation for mode detection In order to take advantage of the two fuzzy operators defined above, we propose to combine them into a fuzzy morphological transformation, ... classical fuzzy opening Dγ [Eγ ] of μM (d) Cross-section plot of the specific transformation t of μM Figure 9: Comparison on cross-sections between the classical fuzzy opening and the fuzzy transformation...

Ngày tải lên: 21/06/2014, 22:20

... Hovakimyan, and V Chellaboina, Neural network adaptive control for nonlinear nonnegative dynamical systems,” IEEE Transactions on Neural Networks, vol 16, no 2, pp 399–413, 2005 A Berman and R J ... Haddad, J M Bailey, and N Hovakimyan, “Passivity-based neural network adaptive output feedback control for nonlinear nonnegative dynamical systems,” IEEE Transactions on Neural Networks, vol 16, ... existence of a global neural network approximator for an uncertain nonlinear map cannot in general be established Hence, as is common in the neural network literature, for a given arbitrarily...

Ngày tải lên: 22/06/2014, 11:20

... C.H and C.C Teng: Identification and Control of Dynamic Systems using Recurrent Fuzzy Neural Networks IEEE Trans Fuzzy Systems Vol.8, No.4, pp.349-366, 2000 [5] Wei, S.; Z.Lujin; Z.Jinhai and ... Identification Proc 17th IEEE Inter Conf on Tools with Artif Intell., ICTAI'05, pp 681683., 2005 [7] Cong,S and Y.Liang, PID-Like Neural Network Nonlinear Adaptive Control For Uncertain Multivariable Motion ... Control based on Neural Network Adaptive Control, Kwanho You (Ed.), ISBN: 978-953-7619-47-3, InTech., 2009 [6] Zhang,M.;X.Wang;M.Liu: Adaptive PID control Based on RBF Neural Network Identification...

Ngày tải lên: 24/07/2015, 16:57

... gamek.vn, gamethu.vnexpress.net, http://forum.gamevn.com/; http://www.gameviet24h.net, http://www.aforgenet.com/ • https://en.wikipedia.org/wiki/Artificial _neural_ network • https://en.wikipedia.org/wiki/Evolutionary_algorithm ... playpark.vn, gamek.vn, gamethu.vnexpress.net… Từ diễn đàn game: http://forum.gamevn.com/; http://www.gameviet24h.net/ ; Neural networks Ví dụ mạng dẫn tiến: Tổ chức cấu trúc mạng cụ thể: • • • Số ... thuật huấn luyện Thuật toán tiến hóa: Tạo quần thể mạng neural, tạo tương tác với môi trường chọn cá thể thích nghi Cải tiến: Tiến hóa mạng neural cấu trúc mạng trọng số mạng Điều kiện dừng trình...

Ngày tải lên: 24/08/2015, 22:46

... literature on tool condition monitoring, covering sensors for tool condition monitoring, cutting force modeling for ball-nose end milling, signal processing, feature extraction and selection and tool ... multi-ART2 neural network was developed to detect tool failure and chatter in turning Kuo and Cohen (Kuo and Cohen, 1999) integrated artificial neural networks (ANN) and fuzzy logic to build a fuzzy neural ... features and tool conditions Some decision making methods for TCM, such as threshold method, regression method, and hidden Markov model are introduced 2.8 Neural network methods for tool condition monitoring...

Ngày tải lên: 09/09/2015, 10:11

... artificial neural networks (ANN) [49, 50], fuzzy neural networks [51] and Bayesian neural networks [52] However in ball nose milling operations, the cutting conditions frequently changes and collecting ... estimate the tool wear Different models for tool wear profile estimation for diagnostics and prognostics are proposed and compared Tool wear models with geometric features and residual force features ... demand for monitoring systems to ensure the performance of machine tools and better quality of workpiece In machining process, 20% of the machine tool down time is attributed to the cutting tool...

Ngày tải lên: 14/09/2015, 08:39

... Cutting force, tool wear and tool state prediction from the standard and revised SVM (v=80 m/min, f=0.2 mm/rev, d=0.5mm) Figure D-2 Cutting force, tool wear and tool state prediction from the standard ... Cutting force, tool wear and tool state prediction from the standard and revised SVM (v=80 m/min, f=0.1 mm/rev, d=1mm) Figure D-5 Cutting force, tool wear and tool state prediction from the standard ... AE, tool wear and tool state prediction from the standard and revised SVM (workpiece ASSAB705, insert SNMG120408 of material AC3000, v=220 m/min, f=0.3 mm/rev, d=1mm) Figure B-14 AE, tool wear and...

Ngày tải lên: 16/09/2015, 17:13

... different tool conditions 2.4 Cutting forces and tool wear Understanding the basic force trend in the metal-cutting process that is related to tool wear or failure will enable one to know tool conditions ... recommendation for future research 20 Chapter Tool Wear and Sensing Signals CHAPTER Tool Wear and Tool life 2.1 Tool wear mechanism In order to achieve an economical tool life, various tool angles, ... Principal Component (MPC) and Fuzzy Neural Network (FNN) for TCM Force, vibration, and spindle motor power signals were fused in MPC to give a highly sensitive feature space, and the flexible structure...

Ngày tải lên: 16/09/2015, 17:13

... both for tool failure detection and for tool wear estimation Leem [1995] used a customized neural network in online monitoring of cutting tool wear Power spectrum and four statistics (mean, standard ... of information to process The information processing in the tool condition monitoring system is responsible for extracting meaningful features from raw signals and making decisions on tool conditions ... process [Dimla, 1996] Tool condition monitoring is primarily for tool wear monitoring [Lange, 1992] Tool failure resulted from wear represents about 20% of machine tool down-time and negatively impacts...

Ngày tải lên: 06/10/2015, 20:50

... features and the observed corresponding tool conditions are used to train a neural network The trained network subsequently provides appropriate output for given input, in a form of either a condition ... rotations), for dataset 122 Figure 7.12 An example of wavelet decomposition 123 Figure 7.13 Wavelet transform for dataset 124 Figure 7.14 Wavelet transform for dataset ... the flank wears and tool breakage in milling Tool conditions such as wear and chipping/breakage and wear mechanisms in milling are reviewed and the sensors used to monitor these conditions are...

Ngày tải lên: 16/09/2015, 08:30

... neural networks (ANN) and fuzzy neural (FN) systems An overview of these two approaches follows in the next section 16.2.1 Neural Networks Model Several learning methods have been developed for ... Equation (16.15) and then assigned a fuzzy membership function The divisions of the input and output spaces are shown in Figure 16.1, where N is for x1, and for x2 and y The width for each variable ... important and may be required for further development of ISRR technology for the next century References Armarego, E J A and Deshpande, N P., 1989, Computerized predictive cutting models for forces...

Ngày tải lên: 23/01/2014, 01:20

... Chọn luật hợp thành Max-Min 2.4 Giải mờ phương pháp trọng tâm 2.5 Mơ Trên cửa sổ MATLAB đánh lệnh fuzzy thấy xuất cửa sổ FIS EDITOR sau tiến hành thiết kế ĐKM theo trình tự sau: Hình Giao diện FIS...

Ngày tải lên: 12/04/2014, 10:53

... initialize and train the network It maintains a list of NetworkHelper training data elements NeuralNetwork A generic neural network This is a concrete implementation of INeuralNetwork NeuralNetworkCollection ... there Before understanding how neurons and neural networks actually work, let us revisit the structure of a neural network As I mentioned earlier, a neural network consists of several layers, and ... basic theory behind neural networks (backward propagation neural networks in particular) Understand how neural networks actually 'work' Understand in more detail, the design and source code of...

Ngày tải lên: 28/04/2014, 10:10

... proposed for the first two problems, and a hierarchical neural network model is introduced to deal with motor com- mand Combination of the second and the third approach was found to be very efficient for ... problem but also resolve the inverse kinematics and inverse dynamics problens for redundant manipulators (Fig 2) Hierarchical neural network for control and learning Ito [5] proposed that the cerebrocerebellar ... trajectory and the associated motor command (torque) can be determined simultaneously That is, the three problems of trajectory formation, coordinates transformation and generation of motor command...

Ngày tải lên: 28/04/2014, 10:16

... Ri will be close to one for good performing TFDs and zero for poor performing ones (TFDs with large interference terms and components poorly resolved) The Hybrid Neurofuzzy Method In this paper, ... localized neural networks 3.2 Localized Neural Network Processing The selected ANN’s topology includes 40 hidden units in a single hidden layer with feed-forward back-propagation neural network ... Localized Neural Networks The spectrogram and preprocessed WVD of the two signals are used to train the multiple neural networks Fuzzy clustering of the data results in its optimal partitions for which...

Ngày tải lên: 21/06/2014, 08:20

... pairwise and standard multiclass neural networks were implemented in Matlab, using neural networks Toolbox The pairwise classifiers and the multiclass networks include hidden and output layers For ... B, and Faces94 were 64 × 64, 32 × 32, and 45 × 50 pixels, respectively For these face image sets, the number of classes and number of samples per subject were 40 and 10, 38 and 60, and 150 and ... performance was achieved with two hidden neurons, while for the multiclass networks the numbers of hidden neurons were dependent on problems and ranged between 25 and 200 The best performance for...

Ngày tải lên: 22/06/2014, 19:20