Sensors (Basel, Switzerland)

PLoS computational biology

ISA transactions

[1] Quantitative Index and Abnormal Alarm Strategy Using Sensor-Dependent Vibration Data for Blade Crack Identification in Centrifugal Booster Fans.

[2] Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome.

[3] A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network.

[4] Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis.

[5] Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.

[6] Fault Diagnosis in the Slip-Frequency Plane of Induction Machines Working in Time-Varying Conditions.

[7] Collaborative sparse classification for aero-engine’s gear hub crack diagnosis

[8] Spectral Regression Based Fault Feature Extraction for Bearing Accelerometer Sensor Signals

[9] A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis

[10] methods for advanced wind turbine condition monitoring and early diagnosis: a literature review

[11] petri nets for fault diagnosis of large po

[12] open- and short-circuit fault identification for a boost dc/dc converter in pv mppt systems

[13] condition monitoring of face milling tool using k-star algorithm and histogram features of vibration signal

[14] a hybrid eemd-based sampen and svd for acoustic signal processing and fault diagnosis

[15] a methodology for the detection and diagnostic of localized faults in gears and rolling bearings systems metodologÍa para la detecciÓn y diagnÓstico de fallas localizadas en sistemas de engranajes y rodamientos

[16] a fractional model for dye removal

[17] A Portable System for the Evaluation of the Degree of Pollution of Transmission Line Insulators

[18] Fault Diagnosis Approach of Main Drive Chain in Wind Turbine Based on Data Fusion

[19] Extended Petri net models for fault diagnosis for substation automation

[20] Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals

[21] Adaptive Multiclass Mahalanobis Taguchi System for Bearing Fault Diagnosis under Variable Conditions.

[22] Spectral Kurtosis Entropy and Weighted SaE-ELM for Bogie Fault Diagnosis under Variable Conditions.

[23] Deep Learning Application in Mechatronics Systems' Fault Diagnosis, a Case Study of the Demand-Controlled Ventilation and Heating System

[24] Model-Based Fault Diagnosis of an Anti-Lock Braking System via Structural Analysis

[25] Fault diagnosis of rotating machinery with ensemble kernel extreme learning machine based on fused multi-domain features.

[26] Bearing Fault Diagnosis Based on the Switchable Normalization SSGAN with 1-D Representation of Vibration Signals as Input

[27] The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

[28] Distributed online fault diagnosis in wireless sensor networks

[29] Fault Diagnosis of Broken Rotor Bars in Squirrel-Cage Induction Motor of Hoister Based on Duffing Oscillator and Multifractal Dimension

[30] Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

[31] A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network.

[32] Publishing technology based on multi-server for distributed fault diagnosis information

[33] Triplet Loss Guided Adversarial Domain Adaptation for Bearing Fault Diagnosis.

[34] A Broad Learning Aided Data-Driven Framework of Fast Fault Diagnosis for High-Speed Trains

[35] Automation of low-speed bearing fault diagnosis based on autocorrelation of time domain features

[36] A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis

[37] Fault Diagnosis in the Slip-Frequency Plane of Induction Machines Working in Time-Varying Conditions.

[38] SVM-Based Hybrid Robust PIO Fault Diagnosis for Bearing

[39] A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis

[40] incipient gearbox fault diagnosis based on the reverse state transformation of the chaotic duffing oscillator and sampling integral technology

[41] petri nets for fault diagnosis of large po

[42] research of fault diagnosis based on sensitive intrinsic mode function selection of eemd and adaptive stochastic resonance

[43] gearbox fault diagnosis of wind turbine by ka and drt

[44] an energy graph-based approach to fault diagnosis of a transcritical co₂ heat pump

[45] diagnóstico de fallos en un generador de vapor bkz-340-140-29m utilizando herramientas de lógica difusa//fault diagnosis in a bkz-340-140-29m steam generator using tools of fuzzy logic

[46] a new similarity measure of generalized trapezoidal fuzzy numbers and its application on rotor fault diagnosis

[47] bearing incipient fault diagnosis based upon maximal spectral kurtosis tqwt and group sparsity total variation denoising approach

[48] fault diagnosis for a multistage planetary gear set using model-based simulation and experimental investigation

[49] fault diagnosis and detection in industrial motor network environment using knowledge-level modelling technique

[50] Scan-Chain-Fault Diagnosis Using Regressions in Cryptographic Chips for Wireless Sensor Networks.

[51] a novel fault diagnosis method of rolling bearings based on afewt-kdemi

[52] fault diagnosis for wireless sensor by twin support vector machine

[53] fault diagnosis for engine based on single-stage extreme learning machine

[54] bearing fault diagnosis based on deep belief network and multisensor information fusion

[55] casing vibration fault diagnosis based on variational mode decomposition, local linear embedding, and support vector machine

[56] entropy based test point evaluation and selection method for analog circuit fault diagnosis

[57] a fault diagnosis method for rotating machinery based on pca and morlet kernel svm

[58] fault diagnosis of complex industrial process using kica and sparse svm

[59] fault diagnosis and fault tolerant control for non-gaussian singular time-delayed stochastic distribution systems

[60] sparse representation of transients based on wavelet basis and majorization-minimization algorithm for machinery fault diagnosis

[61] wavelet correlation feature scale entropy and fuzzy support vector machine approach for aeroengine whole-body vibration fault diagnosis

[62] fast eemd based am-correntropy matrix and its application on roller bearing fault diagnosis

[63] a novel fault diagnosis model for bearing of railway vehicles using vibration signals based on symmetric alpha-stable distribution feature extraction

[64] adaptive morphological feature extraction and support vector regressive classification for bearing fault diagnosis

[65] a hybrid eemd-based sampen and svd for acoustic signal processing and fault diagnosis

[66] comprehensive analysis of fault diagnosis methods for aluminum electrolytic control system

[67] a novel mittag-leffler kernel based hybrid fault diagnosis method for wheeled robot driving system

[68] planetary gearbox fault diagnosis via torsional vibration signal analysis in resonance region

[69] sensor fault diagnosis for aero engine based on online sequential extreme learning machine with memory principle

[70] fault diagnosis of rotating machinery based on multisensor information fusion using svm and time-domain features

[71] data-driven adaptive observer for fault diagnosis

[72] fault diagnosis with evolving fuzzy classifier based on clustering algorithm and drift detection

[73] gearbox fault diagnosis using complementary ensemble empirical mode decomposition and permutation entropy

[74] Extended Petri net models for fault diagnosis for substation automation

[75] Fault Diagnosis Approach of Main Drive Chain in Wind Turbine Based on Data Fusion

[76] Extended Petri net models for fault diagnosis for substation automation