Wireless connection timeout fault diagnosis of Chinese train control system using adaptive neuro-fuzzy inference system

2017 ◽  
Author(s):  
Zihui Zuo ◽  
Kaifeng Wang ◽  
Yahui Wei ◽  
Xin Zhao
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Inference System ◽  
Train Control ◽  
Train Control System ◽  
Neuro Fuzzy

scholarly journals Design an intelligent hybrid position/force control for above knee prosthesis based on adaptive neuro-fuzzy inference system

2021 ◽  
Vol 23 (2) ◽  
pp. 675
Author(s):  
Mithaq N. Raheema ◽  
Dhirgaam A. Kadhim ◽  
Jabbar S. Hussein
Keyword(s):  
Control System ◽  
Knee Joint ◽  
Force Control ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Knee Prosthesis ◽  
Current Control ◽  
Inference System ◽  
Control Approach ◽  
Neuro Fuzzy

<div>This paper reviews the position/force control approach for governs an efficient knee joint in an active lower limb prosthesis, and the inter facing current control algorithm with human gate parameter is inserted. Two techniques are used to collect gait cycle data of leg: first, the foot ground force is obtained by the force platform device based on its position (x, y), then data of knee joint angles is recorded by using a video-camera device.The collected information is sent and used in the proposed intelligent controller. This intelligent control system used an adaptive neuro-fuzzy inference system (ANFIS) circuit in addition to the proportional integral derivative (PID) controller. This hybrid ANFIS-PID control system simulates and provides the ground force values. The experimental results show anexcellent response and lower root mean square error (RMSE) compared with each of PID and ANFIS controller that implemented for a similar purpose. In summary, the results showed acceptably stable performance of the proposedposition/force controller based on hybrid ANFIS-PID system. It can be concluded that the finest performance of the controlled force, as quantified by the RMSE criteria, is perceived by the proposed hybrid scheme depending on the controller intelligent decision circuit.</div>

Fault diagnosis and classification of water pump using adaptive neuro-fuzzy inference system based on vibration signals

2015 ◽  
Vol 14 (5) ◽  
pp. 402-410 ◽  
Author(s):  
Ashkan Moosavian ◽  
Meghdad Khazaee ◽  
Hojat Ahmadi ◽  
Majid Khazaee ◽  
Gholamhassan Najafi
Keyword(s):  
Fault Diagnosis ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Water Pump ◽  
Inference System ◽  
Vibration Signals ◽  
Neuro Fuzzy ◽  
Diagnosis And Classification
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