SA-ANN-Based Slag Carry-Over Detection Method and the Embedded WME Platform

Tan, Dapeng; Li, Peiyu; Ji, Yixuan; Wen, Desheng; Li, Chen

doi:10.1109/tie.2012.2213559

Cited by 59 publications

(15 citation statements)

References 34 publications

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“…The side plates are connected to the gearbox housing by bolts and pins. Considering the need for numerical calculations, the features with less impact are simplified [43][44][45], and the resulting gearbox physical model is shown in Figure 2.…”

Section: The Composition Of the Gearboxmentioning

confidence: 99%

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

Wang

Wen

et al. 2019

Applied Sciences

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To optimize the rigidity and dynamic mechanical properties of a sawing machine and improve its processing quality and stability, a design method for the sawing machine’s gearbox was proposed. First, a lightweight design of the gearbox was realized by topology optimization. Second, the sensitivity of different design variables of the new gearbox was determined via sensitivity analysis of the objective function. Finally, multi-objective optimization was used to obtain the optimal solution for the gearbox. Considering the complexity of the internal structure of the gearbox assembly and the accuracy of the numerical calculation process, a modeling method with mass points was proposed. A comparison between the numerical calculation results and the operation mode analysis revealed that the former was accurate and can be applied to the verification of the optimized gearbox. By optimizing the vibration signals before and after, and the analysis of the end face quality of the workpiece, the results revealed that the optimized gearbox has a significantly reduced amplitude under various operating conditions. In addition, the vibration stability was improved, and the end face quality of the workpiece was significantly enhanced compared to that before optimization. This study serves as a theoretical reference for multi-body dynamics modeling and optimization of machine tools, and also outlines technical solutions for high-speed stable cutting with sawing machines.

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Section: The Composition Of the Gearboxmentioning

confidence: 99%

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

Wang

Wen

et al. 2019

Applied Sciences

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“…Since the working temperature of DTY heating cabinet is apt to be disturbed by the environmental factors of fiber material, fiber moisture percentage, tensile speed, ambient temperature, and heating power, the anti-interference scheme is an indispensable component of the temperature control system [42][43][44][45]. Considering the above matter, two methods are adopted to resolve it.…”

Section: Embedded St-pid-based Temperature Control Systemmentioning

confidence: 99%

A Self‐Tuning Proportional‐Integral‐Derivative‐Based Temperature Control Method for Draw‐Texturing‐Yarn Machine

Rong

Chen

2017

Mathematical Problems in Engineering

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Owing to the fast time-varying characteristics, the temperature control for draw-texturing-yarn (DTY) machine has higher technical difficulties and results in challenges for system energy optimization. To address the matter, a self-tuning proportionalintegral-derivative-(ST-PID-) based temperature control method is proposed. Referring to the technical procedures of DTY machine, a thermodynamic model is set up. Then, a ST-PID minimum phase control system is constructed by the pole-point placement method. Subsequently, an artificial neural network based forgetting factor searching (ANN-FFS) algorithm is developed to optimize the system parameter identification. The numerical cases show that the proposed ANN-FFS algorithm can improve the parameter identification process, and the average identifying efficiency ( > 15) can increase by more than 50%; compared with the fuzzy PID controller, the proposed ST-PID method can increase the control accuracy nearly 3 times for the static temperature ascending. The experimental results prove that the proposed ST-PID method has better abilities of characteristics tracing and antiinterference and can restrain the temperature fluctuation caused by objective switching and the factual control accuracy reaches 3 times that of fuzzy PID method.

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“…The simulated annealing (SA) method [25][26][27] can accept the fault-tolerant solutions by the Boltzmann distribution law and support jump-style searching for knowledge learning process, which is close to knowledge evolution rules of human cognition. Therefore, this paper introduces SA method into human cognition area and proposes a SA-ANNbased modeling method for human cognition mechanism.…”

Section: Introductionmentioning

confidence: 95%

A SA‐ANN‐Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm

Chen

Tan

2018

Complexity

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Artificial neural networks (ANNs) are the important approaches for researching human cognition process. However, current ANNsbased cognition methods cannot address the problems of complex information understanding and fault-tolerant learning. Here we present a modeling method for cognition mechanism based on a simulated annealing-artificial neural network (SA-ANN). Firstly, the relationship between SA processing procedure and cognition knowledge evolution is analyzed, and a SA-ANN-based inference model is set up. Then, based on the inference model, a Powell SA with combinatorial optimization (PSACO) algorithm is proposed to improve the clustering efficiency and recognition accuracy for the cognition process. Finally, three groups of numerical instances for knowledge clustering are provided, and three comparative experiments are performed by self-developed cognition software. The simulated results show that the proposed method can increase the convergence rate by more than 20%, compared with the back-propagation (BP), SA, and restricted Boltzmann machines based extreme learning machine (RBM-ELM) algorithms. The comparative cognition experiments prove that the method can obtain better performances of information understanding and fault-tolerant learning, and the cognition accuracies for original sample, damaged sample, and transformed sample can reach 99.6%, 99.2%, and 97.1%, respectively.

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SA-ANN-Based Slag Carry-Over Detection Method and the Embedded WME Platform

Cited by 59 publications

References 34 publications

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

Dynamic Performance Optimization of Circular Sawing Machine Gearbox

A Self‐Tuning Proportional‐Integral‐Derivative‐Based Temperature Control Method for Draw‐Texturing‐Yarn Machine

A SA‐ANN‐Based Modeling Method for Human Cognition Mechanism and the PSACO Cognition Algorithm

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