Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network

No abstract is available for this paper.

• Publication year

  2012

• Venue

  Journal of Intelligent Manufacturing

• Publication date

  2012-05-12

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1007/s10845-012-0657-2
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Fault Diagnosis of Induction Motors Using Discrete Wavelet Transform and Artificial Neural Network

  2011cited by this paper
• Remaining useful life estimation - A review on the statistical data driven approaches

  2011cited by this paper
• Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques

  2011cited by this paper
• Nonlinear System Simulation Based on the BP Neural Network

  2010cited by this paper
• Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT

  2010cited by this paper
• Applications of fault diagnosis in rotating machinery by using time series analysis with neural network

  2010cited by this paper
• SSVEP-Based Functional Electrical Stimulation System for Motor Control of Patients with Spinal Cord Injury

  2010cited by this paper
• Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN)

  2010cited by this paper
• An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

  2009cited by this paper
• An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

  2009cited by this paper
• Fault features extraction for bearing prognostics

  2009cited by this paper
• An automotive generator fault diagnosis system using discrete wavelet transform and artificial neural network

  2009cited by this paper
• Fault diagnosis for diesel valve trains based on time–frequency images

  2008cited by this paper
• Research on intelligent fault diagnosis based on time series analysis algorithm

  2008cited by this paper
• Probability based vehicle fault diagnosis: Bayesian network method

  2008cited by this paper
• A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box

  2008cited by this paper
• Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform

  2007cited by this paper
• Application of time–frequency entropy method based on Hilbert–Huang transform to gear fault diagnosis

  2007cited by this paper
• Continuous wavelet transform technique for fault signal diagnosis of internal combustion engines

  2006cited by this paper
• Intelligent prognostics tools and e-maintenance

  2006cited by this paper
• Fault diagnosis for large-scale wind turbine rolling bearing using stress wave and wavelet analysis

  2005cited by this paper
• Hidden Markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery

  2005cited by this paper
• A Theory for Multiresolution Signal Decomposition : The Wavelet Representation

  2004cited by this paper
• Machine fault diagnosis through an effective exact wavelet analysis

  2004cited by this paper
• Real-time fault detection and isolation in industrial machines using learning vector quantization

  2004cited by this paper
• Induction machine fault detection using SOM-based RBF neural networks

  2004cited by this paper
• Feature extraction related to bearing damage in electric motors by wavelet analysis

  2003cited by this paper
• Intelligent Condition Monitoring and Diagnosis Systems: A Computational Intelligence Approach

  2003cited by this paper
• Design and analysis of aerospace DC arcing faults using fast fourier transformation and artificial neural network

  2003cited by this paper
• Novelty detection: a review - part 2: : neural network based approaches

  2003cited by this paper
• GEAR FAULT DIAGNOSIS BASED ON CONTINUOUS WAVELET TRANSFORM

  2002cited by this paper
• APPLICATION OF DISCRETE WAVELET TRANSFORM FOR DETECTION OF BALL BEARING RACE FAULTS

  2002cited by this paper
• Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning

  2001cited by this paper
• Predictive Monitoring and Control of the Cold Extrusion Process

  2000cited by this paper
• Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis

  2000cited by this paper
• TIME–FREQUENCY ANALYSIS IN GEARBOX FAULT DETECTION USING THE WIGNER–VILLE DISTRIBUTION AND PATTERN RECOGNITION

  1997cited by this paper
• Application of Wigner-Ville distribution to measurements on transient signals

  1993cited by this paper
• A logical calculus of the ideas immanent in nervous activity

  1990cited by this paper
• A Theory for Multiresolution Signal Decomposition: The Wavelet Representation

  1989cited by this paper
• Orthonormal bases of compactly supported wavelets

  1988cited by this paper
• Parallel Distributed Processing: Explorations in the Microstructures of Cognition

  1987cited by this paper
• Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations

  1986cited by this paper
• One-Line Machine and Process Diagnostics

  1984cited by this paper
• Time-frequency representation of digital signals and systems based on short-time Fourier analysis

  1980cited by this paper
• A Fast Fourier Transform for High-Speed Signal Processing

  1971cited by this paper

• TFD-Trans: Time-frequency hierarchical decomposition transformer for mechanical fault diagnosis

  2026cites this paper
• Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Wavelet Packet Transform and Genetic Algorithm-Optimized Back Propagation Neural Network

  2025cites this paper
• Detection of Broken Rotor Bars in Induction Motors Under Oscillating Load Through Bidimensional Entropy and Time-Frequency Maps

  2025cites this paper
• Micro Fault Diagnosis of Driving Motor Bearings Based on Multi-Residual Neural Networks and Evidence Reasoning Rule

  2025cites this paper
• Multidomain feature fusion with Bessel transform and HU descriptors for compound imbalance-misalignment fault diagnosis

  2025cites this paper
• RTFNN: A refined time-frequency neural network for interpretable intelligent diagnosis of aero-engine

  2025cites this paper
• A hybrid framework of IoT and machine learning for predictive analytics of a DC motor

  2025cites this paper
• Remaining Useful Life Prediction of Rotating Machinery Bearings Based on Adaptive Multi-domain Feature Selection and Nested LSTM

  2025cites this paper
• Application of deep learning in product lifecycle of automotive parts

  2025cites this paper
• Physics-informed cross layer temporal frequency transformer network for remaining useful life prediction of rolling bearings

  2025cites this paper
• A meta-learning-based AutoML method for aero-engine rolling element bearing fault diagnostics

  2025cites this paper
• Interpretable AI-Driven Modelling of Soil–Structure Interface Shear Strength Using Genetic Programming with SHAP and Fourier Feature Augmentation

  2025cites this paper
• Modelling of spatially correlated weather-based electricity forecasting using combined frequency-based signal decomposition with optimized boosting approach

  2025cites this paper
• Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis

  2025cites this paper
• A hybrid machine learning approach for predicting short production stoppages

  2025cites this paper
• Research on the application of deep learning algorithm in energy management for low-carbon society

  2025cites this paper
• Bearing fault diagnosis based on incremental transfer learning and ensemble learning with stochastic configuration network

  2025cites this paper
• An End-to-End AIoT Maintenance Framework for Fighting Pumps Failure Monitoring Based on Metaheuristic Improved Particle Swarm Algorithm and Combining BiGRU-CNN Models

  2025cites this paper
• Measuring the spectrum of terahertz pulses using the first-order autocorrelator based on Fabry-Perot cavity

  2025cites this paper
• Few-shot fault diagnosis of rolling bearing under variable conditions based on deep meta-transfer learning

  2025cites this paper
• A Noise-Robust Fault Diagnosis Algorithm for Rotating Machinery with Limited Sample Size

  2025cites this paper
• An Efficient Approach for Automatic Fault Classification Based on Data Balance and One-Dimensional Deep Learning

  2024cites this paper
• An intelligent BIM-enabled digital twin framework for real-time structural health monitoring using wireless IoT sensing, digital signal processing, and structural analysis

  2024cites this paper
• A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges

  2024cites this paper
• Unsupervised machinery prognostics approach based on wavelet packet decomposition and variational autoencoder

  2024cites this paper
• Wavelet-powered hierarchical frequency filtering framework for autonomous vehicle sensors fault diagnosis and correction under open environments

  2024cites this paper
• A Discrimination-Guided Active Learning Method Based on Marginal Representations for Industrial Compound Fault Diagnosis

  2024cites this paper
• Translation model based on discrete Fourier transform and Skipping Sub-Layer methods

  2024cites this paper
• SegCFT: Context-aware Fourier Transform for efficient semantic segmentation

  2024cites this paper
• Wellbore fracture recognition and fracture parameter identification method using piezoelectric ultrasonic and machine learning

  2024cites this paper
• Variable-Bandwidth Self-Convergent Variational Mode Decomposition and its Application to Fault Diagnosis of Rolling Bearing

  2024cites this paper
• A Two-Stage Fault Diagnosis Method With Rough and Fine Classifiers for Phased Array Radar Transceivers

  2024cites this paper
• Hybrid Method of Vibration Acceleration Signal Analysis for Solving the Problem of Early Slag Recognition During Steel Casting

  2024cites this paper
• Evaluating Technicians’ Workload and Performance in Diagnosis for Corrective Maintenance

  2024cites this paper
• Automatic Detection of Natural Hazard-Induced Power Grid Infrastructure Faults Using Computational Intelligence

  2024cites this paper
• A STATE OF THE ART REVIEW ON ADVANCES IN BEARING FAULT DIAGNOSIS USING MACHINE LEARNING APPROACH

  2023cites this paper
• Intelligent Quantification of Metal Defects in Storage Tanks Based on Machine Learning

  2023cites this paper
• Machine Condition Monitoring System Based on IoT Platform for Intelligent Maintenance

  2023cites this paper
• Fault Diagnosis of Rotating Machinery based on the Minutiae Algorithm

  2023cites this paper
• Development of a Neural Network Method for Identification of the Method to Detect Slag Flow in a Metallurgical Unit "Steel Ladle-Intermediate Ladle"

  2023cites this paper
• An Adaptive Kalman Filter-Based Condition-Monitoring Technique for Induction Motors

  2023cites this paper
• Fault Root Cause Tracking of the Mechanical Components of CNC Lathes Based on Information Transmission

  2023cites this paper
• Bidirectional Shrinkage Gated Recurrent Unit Network With Multiscale Attention Mechanism for Multisensor Fault Diagnosis

  2023cites this paper
• Application of Machine Learning Methods to Determine the Moment of Slag Expiration in the Steelmaking Unit “Steel Ladle-Intermediate Ladle”

  2023cites this paper
• Demultiplexing OAM beams via Fourier optical convolutional neural network

  2023cites this paper
• A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction

  2023cites this paper
• Ultraviolet Radiation Transmission in Building’s Fenestration: Part II, Exploring Digital Imaging, UV Photography, Image Processing, and Computer Vision Techniques

  2023cites this paper
• An evolutionary ensemble convolutional neural network for fault diagnosis problem

  2023cites this paper
• Adaptive remaining useful life prediction framework with stochastic failure threshold for experimental bearings with different lifetimes under contaminated condition

  2023cites this paper
• AIoT for sustainable manufacturing: Overview, challenges, and opportunities

  2023cites this paper
• A novel bearing fault diagnosis method under small samples using time-frequency multi-scale convolution layer and hybrid attention mechanism module

  2023cites this paper
• Wind Turbine Gearbox Fault Detection Based on Sparse Filtering and Graph Neural Networks

  2023cites this paper
• A new deep learning model combining CNN for engine fault diagnosis

  2023cites this paper
• Multi-Stage Approach Using Convolutional Triplet Network and Ensemble Model for Fault Diagnosis in Oil Plant Rotary Machines

  2023cites this paper
• The Performance Investigation of Smart Diagnosis for Bearings Using Mixed Chaotic Features with Fractional Order

  2023influential citation
• Acoustic Sensing and Supervised Machine Learning for In Situ Classification of Semi-Autogenous (SAG) Mill Feed Size Fractions Using Different Feature Extraction Techniques

  2023cites this paper
• Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method

  2023cites this paper
• 1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan

  2022cites this paper
• Binomial adversarial representation learning for machinery fault feature extraction and diagnosis

  2022cites this paper
• Bearing Fault Diagnosis Method Based on Complementary Feature Extraction and Fusion of Multisensor Data

  2022cites this paper
• The Role of Machine Learning in Tribology: A Systematic Review

  2022cites this paper
• An ensemble framework based on diversity enhancement and difference indicator for fault diagnosis of rotating components with unknown modes

  2022cites this paper
• Failure Mode Detection and Validation of a Shaft-Bearing System with Common Sensors

  2022cites this paper
• A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies

  2022cites this paper
• Artificial Intelligence-Based Survival Analysis For Industrial Equipment Performance Management

  2022cites this paper
• Fast-FNet: Accelerating transformer encoder models via efficient fourier layers

  2022cites this paper
• Vibration-based gear continuous generating grinding fault classification and interpretation with deep convolutional neural network

  2022cites this paper
• A Data-Driven Fault Tree for a Time Causality Analysis in an Aging System

  2022influential citation
• Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions

  2022cites this paper
• SAL-CNN: Estimate the Remaining Useful Life of Bearings Using Time-frequency Information

  2022cites this paper
• Dual residual attention network for remaining useful life prediction of bearings

  2022cites this paper
• Veri Madenciliğinde Birliktelik Kuralları ile Bir CNC Tezgahı İçin Arıza Analizi

  2022cites this paper
• Detailed Analysis of Rotor Eccentricity Fault Signatures in Induction Motors using DWT-FFT Technique

  2022influential citation
• Method to Detect Slag Flow in Course of Steel Casting Based on Machine Learning Algorithms

  2022cites this paper
• Deep Learning-Based Remaining Useful Life Estimation of Bearings with Time-Frequency Information

  2022cites this paper
• StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data

  2021cites this paper
• Experimental investigation on time-domain features in the diagnosis of rolling element bearings by acoustic emission

  2021cites this paper
• Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods

  2021cites this paper
• Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training

  2021cites this paper
• Deep Learning for Data-Driven Predictive Maintenance

  2021cites this paper
• Infrared Thermography-Based Fault Diagnosis of Induction Motor Bearings Using Machine Learning

  2021cites this paper
• Plastic gear remaining useful life prediction using artificial neural network

  2021cites this paper
• A chaotic system-based signal identification Technology: Fault-diagnosis of industrial bearing system

  2021cites this paper
• Incipient Fault Detection for Air Brake System of High-Speed Trains

  2021cites this paper
• State of the Art in Defect Detection Based on Machine Vision

  2021cites this paper
• Multi-Band Brain Network Analysis for Functional Neuroimaging Biomarker Identification

  2021cites this paper
• Inter-turn fault stability enrichment and diagnostic analysis of power system network using wavelet transformation-based sample data control and fuzzy logic controller

  2021cites this paper
• An Improved CNN-LSTM Network Based On Hierarchical Attention Mechanism For Motor Bearing Fault Diagnosis

  2021cites this paper
• An EMD-based principal frequency analysis with applications to nonlinear mechanics

  2021cites this paper
• Increasing Wind Turbine Drivetrain Bearing Vibration Monitoring Detectability Using an Artificial Neural Network Implementation

  2021cites this paper
• Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction

  2021cites this paper
• Models and Measures for the Diagnosis of Electric Power Equipment

  2021cites this paper
• Transfer Learning Based Rolling Bearing Fault Diagnosis

  2021influential citation
• Recent Advances and Trends of Predictive Maintenance from Data-driven Machine Prognostics Perspective

  2021cites this paper
• A sensor fusion based approach for bearing fault diagnosis of rotating machine

  2021cites this paper
• Transfer learning method for bearing fault diagnosis based on fully convolutional conditional Wasserstein adversarial Networks

  2021cites this paper
• Theoretical, Numerical, and Experimental Study on the Identification of Subway Tunnel Structural Damage Based on the Moving Train Dynamic Response

  2021cites this paper
• Fault diagnosis of rolling bearing based on back propagation neural network optimized by cuckoo search algorithm

  2021cites this paper
• Prediction of surface roughness based on a hybrid feature selection method and long short-term memory network in grinding

  2021cites this paper
• Transient energy protection based on wavelet packet transform for hybrid bipolar HVDC transmission system

  2021cites this paper