Deterioration Process Modeling of a Multi-Component Complex System for Condition Based Maintenance

2012 ◽  
Author(s):  
Juhyun Kim ◽  
Scott Duncan ◽  
Dimitri Mavris
Keyword(s):  
Complex System ◽  
Process Modeling ◽  
Condition Based Maintenance ◽  
Deterioration Process

Application of RBF Neural Network in WEDM

2012 ◽  
Vol 468-471 ◽  
pp. 607-612
Author(s):  
Shi Ping Zhang ◽  
Yi Chao Ding ◽  
Jing Wang ◽  
Yuan Hui Li
Keyword(s):  
Neural Network ◽  
Complex System ◽  
Process Modeling ◽  
Rbf Neural Network ◽  
Machining Process ◽  
Self Organized ◽  
The Neural Network ◽  
Nonlinear Relation ◽  
Self Learning ◽  
Parallel Type

It is difficult to build a strict mathematical model for WEDM due to the complication of the machining process and the nonlinear relation between process parameters and process targets. The neural network is suited to the modeling of complex system, because it has the functions of self-organized, self-learning and associative memory, and properties of distributed parallel type and high robustness. Therefore, this paper attempts to use the RBF neural network for the process modeling of WEDM.

Research on Complex System of Prognostics and Health Management

2014 ◽  
Vol 644-650 ◽  
pp. 899-902
Author(s):  
Xiao Ming Li ◽  
Xue Dong Lin ◽  
De Gang Li ◽  
Zhi Shu Feng ◽  
Peng Zhao
Keyword(s):  
Complex System ◽  
Complex Systems ◽  
Health Management ◽  
Condition Based Maintenance ◽  
Prognostics And Health Management ◽  
Integrated Framework ◽  
Applied Technology ◽  
Management Techniques ◽  
Management Capabilities

With the increasingly large and complex systems issues in the aspect of reliability, availability, economy and maintenance, the advantages of condition based maintenance become more and more marked which requires the system itself has the prognostics and health management capabilities. Based on this, the integrated framework and applied technology of prognostics and health management to complex systems are studied, and the advantages of prognostics and health management techniques are summarized.

A Reproducible Selective Stain for Cardiac Sarcoplasmic Reticulum

1974 ◽  
Vol 32 ◽  
pp. 214-215
Author(s):  
R. A. Waugh ◽  
J. R. Sommer
Keyword(s):  
Complex System ◽  
Electron Microscope ◽  
Sarcoplasmic Reticulum ◽  
Transmission Electron Microscope ◽  
Electron Microscopic ◽  
Cardiac Sarcoplasmic Reticulum ◽  
Transmission Electron

Cardiac sarcoplasmic reticulum (SR) is a complex system of intracellular tubules that, due to their small size and juxtaposition to such electron-dense structures as mitochondria and myofibrils, are often inconspicuous in conventionally prepared electron microscopic material. This study reports a method with which the SR is selectively “stained” which facilitates visualizationwith the transmission electron microscope.

Art as a Self-Organizing Complex System

1998 ◽  
Author(s):  
Svetlana Apenova ◽  
Igor Yevin
Keyword(s):  
Complex System ◽  
Self Organizing

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

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