4.5 Article

Fault Detection and Identification with Kernel Principal Component Analysis and Long Short-Term Memory Artificial Neural Network Combined Method

Related references

Note: Only part of the references are listed.
Article Engineering, Industrial

A prognostic driven predictive maintenance framework based on Bayesian deep learning

Liangliang Zhuang et al.

Summary: Recent years have seen significant advances in predictive maintenance (PdM) for complex industrial systems. However, existing literature primarily focuses on either prognostics or maintenance decision making, without integrating the two stages. In this paper, we propose a dynamic PdM framework that integrates prognostics and maintenance decision making, using a Bayesian deep learning model to characterize the relationship between degradation features and remaining useful life (RUL). The framework can generate a predictive RUL distribution that effectively represents prognostic uncertainties, and update maintenance decisions based on the latest predictive RUL information.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2023)

Article Mathematics, Applied

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation

Catalin Stoean et al.

Summary: As solar energy generation becomes increasingly important, accurate models for forecasting green energy production are crucial. This study proposes using LSTM and BiLSTM models to predict solar energy generation, incorporating weather data. The models are optimized using an enhanced version of the RSA algorithm. Compared to other state-of-the-art optimization approaches, the proposed method outperforms in terms of performance.

AXIOMS (2023)

Article Automation & Control Systems

Adaptive Critic Designs for Optimal Event-Driven Control of a CSTR System

Xiong Yang et al.

Summary: This article introduces an optimal event-driven control scheme for a continuous stirred tank reactor (CSTR) system, utilizing discounted cost and adaptive critic designs to solve the optimal event-driven control problem. Stability analysis of signals in the closed-loop system is conducted using the Lyapunov approach.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Engineering, Industrial

A dual-LSTM framework combining change point detection and remaining useful life prediction

Zunya Shi et al.

Summary: The study introduces a Dual-LSTM framework for degradation analysis and RUL prediction using LSTM. The framework achieves high-precision RUL prediction by connecting change point detection and RUL prediction, introducing a novel health index function, and leveraging historical information.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Article Mathematics, Applied

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information

Yingdan Shang et al.

Summary: This study improves prediction accuracy by learning user importance coefficients and using a sampling mechanism, as well as incorporating time information into the model.

AXIOMS (2021)

Article Mathematics, Applied

Analyzing Uncertain Dynamical Systems after State-Space Transformations into Cooperative Form: Verification of Control and Fault Diagnosis

Julia Kersten et al.

Summary: This paper discusses handling uncertainty in electrical circuit applications by controlling and reliably computing state interval enclosures, predicting system behavior, and numerically verifying control, ultimately implementing an observer as a diagnostic tool.

AXIOMS (2021)

Article Engineering, Electrical & Electronic

Sensor Fault Detection and Isolation Using a Support Vector Machine for Vehicle Suspension Systems

Kicheol Jeong et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Automation & Control Systems

Real-Time Fault Detection and Identification for MMC Using 1-D Convolutional Neural Networks

Serkan Kiranyaz et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)

Article Computer Science, Interdisciplinary Applications

Mixed kernel canonical variate dissimilarity analysis for incipient fault monitoring in nonlinear dynamic processes

Karl Ezra S. Pilario et al.

COMPUTERS & CHEMICAL ENGINEERING (2019)

Article Automation & Control Systems

Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis

Qingchao Jiang et al.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Bidirectional handshaking LSTM for remaining useful life prediction

Ahmed Elsheikh et al.

NEUROCOMPUTING (2019)

Article Automation & Control Systems

Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection

Karl Ezra Salgado Pilario et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Computer Science, Artificial Intelligence

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis

Xiaogang Deng et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis

Lianfang Cai et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Computer Science, Information Systems

Simultaneous Sensor and Process Fault Detection and Isolation in Multiple-Input-Multiple-Output Systems

Ganesh Krishnamoorthy et al.

IEEE SYSTEMS JOURNAL (2015)

Article Engineering, Electrical & Electronic

Fault Detection and Classification in Medium Voltage DC Shipboard Power Systems With Wavelets and Artificial Neural Networks

Weilin Li et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2014)

Article Automation & Control Systems

A PLS-Based Statistical Approach for Fault Detection and Isolation of Robotic Manipulators

Riccardo Muradore et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2012)

Article Engineering, Electrical & Electronic

An Adaptive Approach Based on KPCA and SVM for Real-Time Fault Diagnosis of HVCBs

Jianjun Ni et al.

IEEE TRANSACTIONS ON POWER DELIVERY (2011)

Article Automation & Control Systems

A Survey of Fault Detection, Isolation, and Reconfiguration Methods

Inseok Hwang et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2010)

Article Engineering, Chemical

Nonlinear process monitoring using kernel principal component analysis

JM Lee et al.

CHEMICAL ENGINEERING SCIENCE (2004)