[PDF] Top 20 Condition Monitoring and Fault Diagnosis of Gearbox Using Vibration Monitoring and Adaptive Neuro-Fuzzy Inference System
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Condition Monitoring and Fault Diagnosis of Gearbox Using Vibration Monitoring and Adaptive Neuro-Fuzzy Inference System
... a gearbox. The experimental setup to collect dataset consists of gearbox, an data acquistion and four shock absorbers under the base of ...install gearbox, electromotor and four shock absorbers under ... See full document
7
Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump
... domain vibration signals have been used as inputs to ANN consisting of one input, one hidden and one-output layer ...trained using multiple layer feed forward back propagation Marquardt ...for ... See full document
9
Gearbox fault detection using static data and adaptive neurofuzzy inference system
... Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial ...the gearbox monitoring methods using the operating ... See full document
8
Simultaneous Detection of Broken Rotor Bar Fault and PQ disturbances in the Supply to Induction Motor Using Neuro-Fuzzy
... continuous monitoring of the health of the motor. Condition monitoring plays an important role in the identification of various PQ disturbances and to ensure reliable operation of the ...with ... See full document
9
Fault diagnosis of induction motor based on decision trees and adaptive neuro fuzzy inference
... The system parameters and the chosen membership functions are automatically adjusted during the learning ...the vibration signal data set which meant the network had learned the training data very ... See full document
21
Analysis of the Induction Motor used in Temperature Controller Machine by condition based Monitoring System
... Condition monitoring of induction motor have been a challenging task for the engineers and researchers mainly in ...many condition monitoring methods, including visual monitoring, ... See full document
9
Utilizing Data from a Sensorless AC Variable Speed Drive for Detecting Mechanical Misalignments
... for fault detection as the misalignment has more ...for fault detection because of its bigger changes, even though the data in steady process also shows clear changes between the baseline and the faulty ... See full document
8
Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System
... like Fuzzy Inference System [8], Artificial Neural Networks (ANN) and Adaptive Neuro Fuzzy Inference System ... See full document
7
Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... by using various classification algorithms and they obtained different accuracy ...Immune System (AIS) and resulted in ...and fuzzy neural network (FNN) and reached the classification accuracy of ... See full document
11
A REVIEW OF CONDITION MONITORING AND FAULT DIAGNOSIS OF GEARS
... with vibration analysis. They developed an inte- grated approach to fault diagnosis using both wear debris analysis of worm gear oil and vi- bration ...worm gearbox, driven by a reverse ... See full document
8
Power Factor Correction of Three Phase Diode Rectifier at Input Stage Using Artificial Intelligent Techniques for DC Drive Applications
... The Fuzzy Logic Controller based simulation diagram of three phase diode rectifier is shown in Fig. 9. The input current waveform and THD of three phase diode rectifier with bidirectional switch is shown in Fig. ... See full document
9
Image Enhancement Using Adaptive Neuro-Fuzzy Inference System
... and neuro-fuzzy network. The internal parameters of the neuro-fuzzy network are adaptively optimized by ...noisy condition on several test images and also compared with already existing ... See full document
7
An Intelligent System For Forecasting Electric Load And Price
... of inference systems vary in their ...the system logic in a system controlled by fuzzy ...as fuzzy sets which needs defuzzification process to get the result in crisp ...of ... See full document
6
Preparation of flood susceptibility mapping using an ensemble of frequency ratio and adaptive neuro-fuzzy inference system models
... to generate GIS-based flood susceptibility maps. Today, powerful machine learning methods, such as adaptive neuro- fuzzy (Mukerji et al., 2009), genetic algorithm (Chau et al., 2005), decision tree ... See full document
13
Electricity Consumption Forecasting Using Adaptive Neuro Fuzzy Inference System (ANFIS)
... Most of the data structures of load forecasting using ANFIS are multivariate as seen in [13, 15-16], even data structure of research [16] is univariate but it is unclear how they made it multivariate. Our data ... See full document
12
EFFICIENCY INCREASING FUNCTION FOR PMSM DR IVE USING ADAPTIVE FUZZY LOGIC CONTROLLER
... Drive parameters change due to saturation and/or heating that occur during running. Generally the drive subjected to speed and load torque disturbance effects that occur during rotating. This makes the motor’s drive ... See full document
12
CONDITIONING MONITORING OF GEARBOX USING VIBRATION AND ACOUSTIC SIGNALS
... for gearbox condition monitoring. Condition monitoring using acoustics tool is presented in this paper shows the considerable freedom in positioning of the microphones - distance ... See full document
9
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... the fuzzy logic based system in the form of parallel ...cooperative neuro-fuzzy architectures, the neural networks and fuzzy logic system work ...the fuzzy system ... See full document
6
Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... MANET is a mobile adhoc network where every node joins and leaves a network. The proposed method ensures scalability of the adhoc network and provides Optimized QoS parameters. By using fuzzy ... See full document
5
A new transmission gearboxes fault diagnosis system based on Bistable Stochastic Resonance
... gearboxes’ vibration signal which have similar fault mode, but the method based on stochastic resonance can let different fault of features information displayed in spectrum figure ...of ... See full document
9
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