diagnosis method
An intelligent bearing fault diagnosis method based on the AFEEMD and 1D CNNs
... fault diagnosis, this paper presents a novel intelligent fault diagnosis method based on the adaptive fast ensemble empirical mode decomposition (AFEEMD) and one-dimensional convolutional neural ...
6
A hydraulic fault diagnosis method based on sliding-window spectrum feature and deep belief network
... fault diagnosis of hydraulic ...fault diagnosis method in this ...extraction method based on sliding-window spectrum feature (SWSF) is ...fault diagnosis of hydraulic ...
13
An Analog Circuit Diagnosis Method Based on Adaptive-Kernel ICA
... fault diagnosis method based on an adaptive kernel function is ...circuit diagnosis: preprocessing, feature extraction and faults ...extraction method based on AMK-ICA technology is presented ...
5
Bearing Fault Diagnosis Method Based on EMD CNNs
... In recent years, with the fast development of deep learning especially the convolutional neural networks (CNNs), image classification have achieved incredible success. Some studies show that CNNs can also be used ...
8
Study on a novel fault diagnosis method based on information fusion method
... fusion method based on combining the ANN with wavelet analysis for structural damage ...fusion method to fuse the different indices derived from the same data source of a single ...fusion method ...
14
Analog Circuit Diagnosis Based on SubKPCA SVM
... On this basis, we propose a new fault diagnosis method: SubKPCA-SVM. The Subset KPCA feature extraction is organically integrated with SVM in order to improve the efficiency and accuracy of fault ...
7
Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams
... Two separate sets of experiments were performed, with CMM as the fault-diagnosis method for one set and LeaF as the fault diagnosis strategy for the other set of experiments. To ensure consistency, ...
8
Blade fault diagnosis using artificial intelligence technique
... condition monitoring employed vibration measurement. The study was for constant speed condition. The effectiveness of Fast Fourier Transform (FFT) and wavelet analysis for blade fault diagnosis were examined using ...
43
A method of gene diagnosis based on Hopfield neural network
... diagnostic method on infectious diseases is the method of pathogen diagnosis, and among the method of pathogen diagnosis the most reliable method is the gene ...etiological ...
9
Fault Diagnosis of Motor Bearing Based on the Bayesian Network
... intelligent diagnosis methods based on genetic algorithm and neural network, while Bayesian network has a good learning, inference and ...intelligent diagnosis method is ...
9
A New Method for Cardiac Diseases Diagnosis
... automatic diagnosis using a non invasive method which consists on the bioimpedance signal ...Automatic diagnosis method consists on preparing, first, a data base with a set of cepstral ...
9
Visual inspection for the diagnosis of cutaneous melanoma in adults
... assisted diagnosis; CCS – case control study; CD – compact disc; CM – cutaneous melanoma; CMM - cutaneous malignant melanoma; CS – case series; CSCC – cutaneous squamous cell carcinoma; DF – dermatofibroma; Dx – ...
256
Comparative Analysis Of Dempster Shafer Method With Certainty Factor Method For Diagnose Stroke Diseases
... The authors conducted a study at Bhayangkara Hospital Medan which is located on Jalan KH. Wahid Hasyim No.01, Merdeka, Medan, Medan City. The author conducted an interview with a specialist neurologist dr. Meity, M.B., ...
5
EFFECT OF DISCRETIZATION METHOD ON THE DIAGNOSIS OF PARKINSON S DISEASE
... the method separates two classes from each other ...learning method, SVM is often used to train and design radial basis function (RBF) networks, and generally, it is more successful compared to similar ...
10
Diagnosis of Types of Diseases in Cassava Plant by Bayes Method
... Design a knowledge base that will be used in expert systems as a source of knowledge in making a diagnosis. Based on statistical data of cassava disease taken at Binjai City Agriculture and Fisheries Office in ...
6
A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems
... for motor rotor fault diagnosis. This is certainly due to the evident advantage that it can be implemented using low-cost instruments. In addition, the fact that MCSA can be performed with easy installation, ...
23
A Novel Method for Diagnosis of Faults Caused At Multiple Locations
... Abstract— Testing is an important early step in design of VLSI. With tens of billions of transistors being integrated in one chip, multiple faults may exist. To accurately and efficiently identify the fault locations, a ...
10
An Algorithm for Predictive Data Mining Method in Medical Diagnosis
... Boris Milovic & Milan Milovic 2012, „Prediction and Decision Making in Health Care using Data Mining‟, International Journal of Public Health Science, vol.1,no.2,pp.69-78 Vahid Rafe & Ro[r] ...
8
Research on Diagnosis of AC Engine Wear Fault Based on Support Vector Machine and Information Fusion
... D-S evidence theory is an important method in the field of multi-sensor information fusion, but its advantage is not fully utilized because is BPA is difficult to obtain. SVM is a new learning algorithm based on ...
6
Improved sensitivity of direct microscopy for Mycobacterium tuberculosis in lymph nodes: comparison of fluorescent microscopy and modified bleach method ZN microscopy along with conventional ZN staining method
... Bleach method Zeihl-Neelsen and Auramine- O fluorescent stains were done and ...bleach method ZN and 85/151 were positive with Auramine –O fluorescent stain, as shown in Table ...bleach method ZN ...
5