Search Results - "Ding, Steven X."
-
1
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
Published in IEEE transactions on industrial electronics (1982) (01-11-2014)“…Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-driven methods have been receiving considerably increasing…”
Get full text
Journal Article -
2
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
Published in IEEE access (01-01-2017)“…Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several…”
Get full text
Journal Article -
3
Data-Driven Distributed Local Fault Detection for Large-Scale Processes Based on the GA-Regularized Canonical Correlation Analysis
Published in IEEE transactions on industrial electronics (1982) (01-10-2017)“…Large-scale processes have become common, and fault detection for such processes is imperative. This work studies the data-driven distributed local fault…”
Get full text
Journal Article -
4
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring
Published in IEEE transactions on industrial electronics (1982) (01-09-2023)“…To ensure the reliability and safety of modern industrial process monitoring, computer vision-based soft measurement has received considerable attention due to…”
Get full text
Journal Article -
5
A comparison and evaluation of key performance indicator-based multivariate statistics process monitoring approaches
Published in Journal of process control (01-09-2015)“…In this paper, the key performance indicator (KPI)-based multivariate statistical process monitoring and fault diagnosis (PM-FD) methods for linear static…”
Get full text
Journal Article -
6
Deep Convolutional Clustering-Based Time Series Anomaly Detection
Published in Sensors (Basel, Switzerland) (15-08-2021)“…This paper presents a novel approach for anomaly detection in industrial processes. The system solely relies on unlabeled data and employs a 1D-convolutional…”
Get full text
Journal Article -
7
A data‐driven distributed fault diagnosis scheme for large‐scale systems based on correlation analysis
Published in IET control theory & applications (01-01-2024)“…This paper studies data‐driven distributed fault diagnosis for large‐scale systems using sensor networks. To be specific, a distributed fault detection scheme…”
Get full text
Journal Article -
8
Improved canonical correlation analysis-based fault detection methods for industrial processes
Published in Journal of process control (01-05-2016)“…•To investigate the methods for detecting incipient multiplicative faults.•To propose methods combining the statistical local approach and CCA methods.•To…”
Get full text
Journal Article -
9
Optimization of DEM parameters using multi-objective reinforcement learning
Published in Powder technology (01-02-2021)“…Simulations with the Discrete Element Method (DEM) have become prominent for analyzing bulk behavior in various industries. For each application the material…”
Get full text
Journal Article -
10
Adaptive Backstepping Based Fault-tolerant Control for High-speed Trains with Actuator Faults
Published in International journal of control, automation, and systems (01-06-2019)“…In this paper, the fault-tolerant control problem is addressed for high-speed trains with unknown time-varying system parameters, traction system actuator…”
Get full text
Journal Article -
11
Shared Temporal Attention Transformer for Remaining Useful Lifetime Estimation
Published in IEEE access (2022)“…This paper proposes a novel deep learning architecture for estimating the remaining useful lifetime (RUL) of industrial components, which solely relies on the…”
Get full text
Journal Article -
12
Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives
Published in IEEE transactions on intelligent transportation systems (01-03-2022)“…Recently, to ensure the reliability and safety of high-speed trains, detection and diagnosis of faults (FDD) in traction systems have become an active issue in…”
Get full text
Journal Article -
13
A Fault Detection and Health Monitoring Scheme for Ship Propulsion Systems Using SVM Technique
Published in IEEE access (01-01-2018)“…Both the model-based and data-driven techniques for fault detection have their merits and drawbacks. The fault detection systems are usually laid out…”
Get full text
Journal Article -
14
A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
Published in IEEE transactions on industrial electronics (1982) (01-06-2015)“…With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and…”
Get full text
Journal Article -
15
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
Published in IEEE transactions on industrial electronics (1982) (01-05-2016)“…Intelligent fault diagnosis is a promising tool to deal with mechanical big data due to its ability in rapidly and efficiently processing collected signals and…”
Get full text
Journal Article -
16
A Survey of Fault Diagnosis and Fault-Tolerant Techniques-Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches
Published in IEEE transactions on industrial electronics (1982) (01-06-2015)“…This is the second-part paper of the survey on fault diagnosis and fault-tolerant techniques, where fault diagnosis methods and applications are overviewed,…”
Get full text
Journal Article -
17
H−/H∞ fault detection filter design for discrete-time Takagi–Sugeno fuzzy system
Published in Automatica (Oxford) (01-07-2013)“…In this note, a robust fault detection observer is designed for a T–S (Takagi–Sugeno) fuzzy model with sensor faults and unknown bounded disturbances. The…”
Get full text
Journal Article -
18
Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey
Published in IEEE transactions on industrial electronics (1982) (01-02-2016)“…In recent years, the analysis and synthesis of fuzzy-model-based nonlinear networked control systems (NCSs) have received increasing attention from both…”
Get full text
Journal Article -
19
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes
Published in IEEE transaction on neural networks and learning systems (01-09-2023)“…Fault diagnosis of complex industrial processes becomes a challenging task due to various fault patterns in sensor signals and complex interactions between…”
Get full text
Journal Article -
20
Real-time fault diagnosis and fault-tolerant control
Published in IEEE transactions on industrial electronics (1982) (01-06-2015)“…This "Special Section on Real-Time Fault Diagnosis and Fault-Tolerant Control" of the IEEE Transactions on Industrial Electronics is motivated to provide a…”
Get full text
Journal Article