Detalhe da pesquisa
1.
Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis.
Sensors (Basel)
; 24(6)2024 Mar 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-38544093
2.
The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.
Sensors (Basel)
; 24(8)2024 Apr 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-38675999
3.
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network.
Sensors (Basel)
; 24(1)2024 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-38203118
4.
Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network.
Sensors (Basel)
; 24(3)2024 Jan 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-38339571
5.
Exogenously applied nicotinic acid alleviates drought stress by enhancing morpho-physiological traits and antioxidant defense mechanisms in wheat.
Ecotoxicol Environ Saf
; 263: 115350, 2023 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-37586200
6.
Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest.
Sensors (Basel)
; 23(22)2023 Nov 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38005477
7.
A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test.
Sensors (Basel)
; 23(22)2023 Nov 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-38005476
8.
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN.
Sensors (Basel)
; 23(11)2023 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-37299982
9.
A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test.
Sensors (Basel)
; 23(23)2023 Nov 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38067669
10.
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection.
Sensors (Basel)
; 23(19)2023 Sep 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-37836908
11.
IoMT-Enabled Computer-Aided Diagnosis of Pulmonary Embolism from Computed Tomography Scans Using Deep Learning.
Sensors (Basel)
; 23(3)2023 Jan 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-36772510
12.
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning.
Sensors (Basel)
; 23(21)2023 Oct 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-37960548
13.
Enhancing drought stress tolerance in Camelina (Camelina sativa L.) through exogenous application of potassium.
Physiol Plant
; 174(5): e13779, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-36087099
14.
Impact on quality of life in obstructive sialadenitis predicting outcomes after sialendoscopy.
Am J Otolaryngol
; 43(3): 103431, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35460971
15.
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures.
Sensors (Basel)
; 22(10)2022 May 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35632097
16.
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning.
Sensors (Basel)
; 22(17)2022 Aug 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-36080907
17.
Leak Localization on Cylinder Tank Bottom Using Acoustic Emission.
Sensors (Basel)
; 23(1)2022 Dec 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-36616626
18.
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning.
Sensors (Basel)
; 22(4)2022 Feb 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-35214465
19.
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures.
Sensors (Basel)
; 21(22)2021 Nov 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-34833836
20.
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test.
Sensors (Basel)
; 21(24)2021 Dec 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-34960342