Machine fault
IWSNs with On-Sensor Data Processing for Energy Efficient Machine Fault Diagnosis
... for fault feature extraction and fault diagnosis, compares the effectiveness of on- sensor fault feature extraction using various mother wavelets, and also quantifies the node energy cost of the ...
20
Machine Fault Diagnosis and Prognosis: The State of The Art
... to machine fault classification was given in [76] to classify frequency spectra representing various rolling element bearing ...for fault diagnostic ...for fault diagnosis of rotary machines ...
11
IWSNs with On-sensor Data Processing for Machine Fault Diagnosis
... Abstract: Machine fault diagnosis systems need to collect and transmit dynamic monitoring signals, like vibration and current signals, at ...implementing machine fault diagnosis applications ...
14
Data driven approach to machine condition prognosis using least square regression trees
... Classification and regression trees (CART) [10] handle multivariate regression methods to obtain models. These models have proven to be quite interpretable and competitive predictive accuracy. Moreover, these models can ...
15
FAULT DIAGNOSIS OF ROTATING MACHINERY USING FEM ANALYSIS
... robust fault detection method in rotating ...experimental fault diagnosis using other techniques, such as FEM analysis, it works under different operational conditions, a different angular speed and torque ...
8
Radial force control for triple three phase sectored SPM machines Part II: Open winding fault tolerant control
... where machine fault tolerant designs and controls are essential to meet the safety ...the machine performance, owing to the increased degrees of freedom related to the higher number of independent ...
6
Vibration Signature Analysis and Fault Diagnosis of Machines Using Neural Networks: A Literature Review
... Abstract: Machine maintenance is a key to every manufacturing unit as machine performance ultimately affects the output which determines the operational efficiency and ...a machine it is essential ...
9
Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection | Journal of Engineering Sciences
... that machine network will im- plement its proposed functions under the observing condition throughout a specified time period of running machine system ...for fault diagnosis depending on ...
6
AdSR based fault diagnosis for three-axis boring and milling machine
... milling machine using the adaptive stochastic resonance ...the fault features compaed with the Fourier analysis alleviating the influence of high frequency noise consisting primarily in the machining ...
7
Advancement of Fault Diagnosis and Detection Process in Industrial Machine Environment | Journal of Engineering Sciences
... online machine fault system which senses the current without any user in- terpretation at unspecified ...tion machine of normal load condition using a set of some expert ...initial machine ...
8
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
... Recently, Hashmi et al. [181] use different unsuper- vised algorithms, such as k-Means, FCM, Kohonens SOM, Local Outlier Factor, and Local Outlier Probabilities, to detect faults in a broadband service provider network ...
99
Software Fault Proneness Prediction Using Support Vector Machines
... the fault proneness models such as [1, 2, 5, 7, 11, 12, 14, 16, 20, 21, 23, 27, 34, 35, 40, ...the machine learning methods in predicting software quality ...of machine learning methods are ...
6
Automatic Fault Detection in JC Bamford (JCB) Machines in A Construction Industry by the Application of Neural Network System
... Automatic fault detection is mainly for applications in the automotive ...A fault detection system based on multivariate data analysis is needed to increase data reliability and for the purpose of ...
9
Artificial intelligent system for integrated wear debris and vibration analysis in machine condition monitoring
... a fault root-cause analysis algorithm, and a new strategy for machine remaining lifetime estimation us- ing a wear approach that can be updated using condition monitoring ...
23
Supervised Machine Learning Algorithm Used to Detect Fault in an Induction Motor
... of fault diagnosis in induction motors is gaining ...the fault condition and make dependable choices. The occurance of fault may be internal and external fault in an induction ...of ...
5
Analysis of fault tree importance of CNC machine tools based on BDD
... BDD technique is applied to analyze the parts importance of the CNC machine tools. Through calculating, parts importance is listed according to the values. The structure importance and probability importance of ...
5
Development of a Vibration Signal Data Acquisition System for Fault Diagnosis of a Machine
... of machine through various maintenance activities it has been a tedious job for the maintenance crew to keep the machine in good operating ...catastrophic fault with ...of machine condition ...
10
Vol 9, No 1 (2018)
... weaving machine. Intuitionistic fuzzy fault tree is efficient and simple to implement for computing the failure of the system of all fields of engineering and sciences and also to compute the reliability of ...
6
Intelligent Sensing for Robotic Re-Manufacturing in Aerospace - An Industry 4.0 Design Based Prototype
... and fault detection: Data from the Hi-Speed DAQ system revealed that errors and malfunctions that occur during a welding process create variations in arc voltage ...
7
Fault Handling in PLC Based Industry 4 0 Automated Production Systems as a Basis for Restart and Self Configuration and Its Evaluation
... a fault and the following possible output and its quality can be ...into machine flexibility, process flexibili- ty, routing flexibility and operation flexibility for discrete production ...absolute ...
43