4.6 Article

Bearing Anomaly Recognition Using an Intelligent Digital Twin Integrated with Machine Learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Statistics & Probability

A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing

G. Prakash

Summary: This paper introduces two Bayesian hierarchical models for degradation modeling and reliability assessment of rolling element bearings, one based on life-time data and the other on structural health monitoring (SHM) data. Each model takes into account different factors influencing failure times and updates model parameters using Bayesian approach.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2021)

Article Automation & Control Systems

Actuator fault estimation based on a proportional-integral observer with nonquadratic Lyapunov functions

J. Guzman et al.

Summary: This work proposes a proportional-integral fault estimation observer for nonlinear systems using convex structures. Nonquadratic Lyapunov functions are employed, leading to less conservative conditions in the form of linear matrix inequalities. An H-infinity performance is utilized to ensure robustness against sensor noise and disturbances, enabling the observer to estimate both state and actuator faults even in the presence of disturbances.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2021)

Article Computer Science, Interdisciplinary Applications

Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling

Mohamed Ben Rahmoune et al.

Summary: The main purpose of this study is to propose a tool for protection and safety measures against instability in a gas turbine through dynamic behavior modeling, using an artificial neural network supervision system for efficient diagnostic strategy. This approach allows for vibration monitoring, dynamic stability assurance, and effective detection and management of failures caused by intrinsic vibrations. Additionally, the use of artificial neural networks proves to be highly effective in modeling complex dynamic systems.

MATHEMATICS AND COMPUTERS IN SIMULATION (2021)

Article Engineering, Mechanical

Autocorrelated Envelopes for early fault detection of rolling bearings

Yuandong Xu et al.

Summary: Rolling element bearings are crucial components in rotating machines, and early fault detection is important to prevent typical failures. A detector based on Ensemble Average of Autocorrelated Envelopes (EAAE) is proposed in this paper to identify early occurrence faults, utilizing phase synchronization and ensemble average to enhance cyclostationary characteristics for fault detection. This detector shows high performance in extracting local fault signatures, verified by simulation signals and experimental investigations.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Article Energy & Fuels

Optimizing the fault diagnosis and fault-tolerant control of selective catalytic reduction hydrothermal aging using the Unscented Kalman Filter observer

Jie Hu et al.

Summary: This study designed an observer based on the UKF algorithm to identify the hydrothermal aging status of the SCR system, and constructed an MRAC based on the Lyapunov theory to enhance the fault-tolerant control performance of SCR simulation, which was verified to be effective through simulations.
Review Computer Science, Artificial Intelligence

A review on fault detection and diagnosis techniques: basics and beyond

Anam Abid et al.

Summary: This paper discusses the importance of fault detection and diagnosis methods in modern systems, reviewing both traditional model-based and signal processing-based FDD approaches, as well as AI-based methods. Additionally, typical steps involved in the design and development of automatic FDD systems are systematically presented to outline the present status of FDD.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

Article Computer Science, Theory & Methods

Robust fault detection of T-S fuzzy systems with time-delay using fuzzy functional observer

Syed Imranul Islam et al.

FUZZY SETS AND SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals

Miao He et al.

NEUROCOMPUTING (2020)

Article Computer Science, Artificial Intelligence

Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines

Francisco J. Pulgar et al.

INFORMATION FUSION (2020)

Article Engineering, Industrial

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

Longting Chen et al.

JOURNAL OF MANUFACTURING SYSTEMS (2020)

Article Energy & Fuels

Fault identification using a chain of decision trees in an electrical submersible pump operating in a liquid-gas flow

Mauricio Barrios Castellanos et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2020)

Article Engineering, Multidisciplinary

A multi-ensemble method based on deep auto-encoders for fault diagnosis of rolling bearings

Xianguang Kong et al.

MEASUREMENT (2020)

Article Transportation

Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers

Yan Li et al.

JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index

Wenxin Dai et al.

IEEE SENSORS JOURNAL (2020)

Article Automation & Control Systems

FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults

Yun Gao et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)

Article Engineering, Electrical & Electronic

A Deep Learning Network via Shunt-Wound Restricted Boltzmann Machines Using Raw Data for Fault Detection

Tongyang Pan et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Automation & Control Systems

A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings

Cheng Cheng et al.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2020)

Review Engineering, Multidisciplinary

A survey of non-destructive techniques used for inspection of bearing steel balls

Huayu Zhang et al.

MEASUREMENT (2020)

Article Engineering, Mechanical

Deep digital twins for detection, diagnostics and prognostics

Wihan Booyse et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Article Automation & Control Systems

Comparison between sound perception and self-organizing maps in the monitoring of the bearing degradation

Saiefeddine Alia et al.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2020)

Article Chemistry, Multidisciplinary

Bearing Fault Identification Using Machine Learning and Adaptive Cascade Fault Observer

Farzin Piltan et al.

APPLIED SCIENCES-BASEL (2020)

Review Green & Sustainable Science & Technology

A systematic literature review on machine tool energy consumption

Nitesh Sihag et al.

JOURNAL OF CLEANER PRODUCTION (2020)

Article Engineering, Aerospace

Multiple-fault diagnosis for spacecraft attitude control systems using RBFNN-based observers

Xiang-Gui Guo et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2020)

Article Computer Science, Information Systems

PIO Output Fault Diagnosis by ARX-Laguerre Model Applied to 2<sup><italic>nd</italic></sup> Order Electrical System

Chakib Ben Njima et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Multi-Fault Diagnosis of an Aero-Engine Control System Using Joint Sliding Mode Observers

Linfeng Gou et al.

IEEE ACCESS (2020)

Article Automation & Control Systems

A New Family of Model-Based Impulsive Wavelets and Their Sparse Representation for Rolling Bearing Fault Diagnosis

Yi Qin

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Acoustics

Ball bearing defect models: A study of simulated and experimental fault signatures

C. Mishra et al.

JOURNAL OF SOUND AND VIBRATION (2017)

Review Energy & Fuels

Condition monitoring and fault diagnosis of electrical motors - A review

S Nandi et al.

IEEE TRANSACTIONS ON ENERGY CONVERSION (2005)

Article Engineering, Mechanical

Cyclostationary modelling of rotating machine vibration signals

J Antoni et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2004)

Article Engineering, Multidisciplinary

Bearing fault detection via autoregressive stator current modeling

JR Stack et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2004)