COGSYS - the real-time expert system builder

Author(s):  
R. Shaw
Keyword(s):  
Author(s):  
K. Morishita ◽  
K. Nakayashiki ◽  
T. Yokoyama ◽  
T. Sato ◽  
K. Ishida

1994 ◽  
Vol 2 (2) ◽  
pp. 11-17
Author(s):  
Brian Tester ◽  
Steve Baker ◽  
Barry Crabtree

2013 ◽  
Vol 774-776 ◽  
pp. 1586-1590
Author(s):  
Guo Jian Huang ◽  
Dong Hui Wang ◽  
Xin Hua Wang ◽  
Zhen Yu He

Based on current research basis at home and abroad, in order to improve the level of safety technology and safeguard work efficiency, Internet of Things is brought into crane structural health monitoring. Crane structural health risk level evaluation criteria and structural health warning technology expert system are the two key aspects of the project. The mechanical properties of Q235 were studied and theoretical calculations were done by the technologies of ANSYS and ADAMS, finally the threshold was determined. Signals are collected by FBG sensors and transmitted to a demodulator, and then use software calculates the real-time stress by a formula we given in. Finally the real-time stress in different parts of the crane is acquired. If the real-time stress exceeds the allowable stress we set, it issues an alarm signal to the operators.


2011 ◽  
Vol 460-461 ◽  
pp. 605-610 ◽  
Author(s):  
Lu Lu Jiang ◽  
Yong Ni ◽  
Li Hong Tang ◽  
Yong He

his paper reports a practical approach for detecting and diagnose engine faults in real-time based on both the historical and the real-time engine operation data using a specially design neural networks-based fault diagnosis expert system. This system consisted of multiple sensors for real-time monitoring, an engine database for historic data comparison, and a neural network-bases classifier for detecting faults based on both the real-time and the historic data. This neural network-based engine fault diagnosis system was evaluated in a series of validation tests. The results indicated that the system was capable to detect the predefined faults reliably, and the diagnosis error was less than 5%.


Author(s):  
Michael M. Wagner ◽  
J. Espino ◽  
F-C. Tsui ◽  
P. Gesteland ◽  
W. Chapman ◽  
...  

2014 ◽  
Author(s):  
Irving Biederman ◽  
Ori Amir
Keyword(s):  

2015 ◽  
Vol 2 (1) ◽  
pp. 35-41
Author(s):  
Rivan Risdaryanto ◽  
Houtman P. Siregar ◽  
Dedy Loebis

The real-time system is now used on many fields, such as telecommunication, military, information system, evenmedical to get information quickly, on time and accurate. Needless to say, a real-time system will always considerthe performance time. In our application, we define the time target/deadline, so that the system should execute thewhole tasks under predefined deadline. However, if the system failed to finish the tasks, it will lead to fatal failure.In other words, if the system cannot be executed on time, it will affect the subsequent tasks. In this paper, wepropose a real-time system for sending data to find effectiveness and efficiency. Sending data process will beconstructed in MATLAB and sending data process has a time target as when data will send.


Author(s):  
R. Doraiswami ◽  
W. Liu
Keyword(s):  

Author(s):  
Jiyang Yu ◽  
Dan Huang ◽  
Siyang Zhao ◽  
Nan Pei ◽  
Huixia Cheng ◽  
...  

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