Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review
Reliable recognition of fault type and assessment of fault severity is essential for decision
making in condition-based maintenance of gear transmission systems. In engineering …
making in condition-based maintenance of gear transmission systems. In engineering …
A hybrid method based on deep learning and ensemble learning for induction motor fault detection using sound signals
Fault detection in induction motors has an important role in saving costs in various
industries. Due to the wide range of faults in induction motors, using different electrical and …
industries. Due to the wide range of faults in induction motors, using different electrical and …
Detection and diagnosis of induction motor bearing faults using multiwavelet transform and naive Bayes classifier
A novel framework is proposed for the classification of motor bearing faults by using
multiwavelet transform and naive Bayes classifier. This work has explored the application of …
multiwavelet transform and naive Bayes classifier. This work has explored the application of …
Detection of stator, bearing and rotor faults in induction motors
In this paper, faults in induction motors were diagnosed using the Common Vector Approach
(CVA). In order to verify the performance of CVA, a database including stator current signals …
(CVA). In order to verify the performance of CVA, a database including stator current signals …
Classification of fault severity in induction machine systems based on temporal convolutions and recurrent networks
Detection and severity identification of mechanical and electrical faults by means of
noninvasive methods such as electrical signatures of induction machine have attracted …
noninvasive methods such as electrical signatures of induction machine have attracted …
Classification of short-circuit faults in high-voltage energy transmission line using energy of instantaneous active power components-based common vector approach
The majority of power system faults occur in transmission lines. The classification of these
faults in power systems is an important issue. In this paper, the real parameters of a 28 km …
faults in power systems is an important issue. In this paper, the real parameters of a 28 km …
On‐line fault detection method for induction machines based on signal convolution
A new technique for induction motor fault detection and diagnosis is presented. This
technique, which has been experimentally verified in stationary and non‐stationary motor …
technique, which has been experimentally verified in stationary and non‐stationary motor …
Face Recognition by Using 2D Orthogonal Subspace Projections.
In this paper, the implementations and comparison of some classifiers along with 2D
subspace projection approaches have been carried out for the face recognition problem. For …
subspace projection approaches have been carried out for the face recognition problem. For …
Classifying wheat genotypes using machine learning models for single kernel characterization system measurements
The properties related to market value, milling, classification, storage, and transportation of
bread wheat are determined by using some important physical quality characteristics such …
bread wheat are determined by using some important physical quality characteristics such …
A new implementation of common matrix approach using third-order tensors for face recognition
In the classical common matrix approach (CMA), the common matrix for each individual face
class is obtained using basis matrices calculated by Gram–Schmidt orthogonalization of the …
class is obtained using basis matrices calculated by Gram–Schmidt orthogonalization of the …