Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection

On-board measurement of aerodynamic loads for high-speed trains negotiating transitions in windbreak walls

(2022) Lai Wei et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

OORNet: A deep learning model for on-board condition monitoring and fault diagnosis of out-of-round wheels of high-speed trains

(2022) Yunguang Ye et al.   MEASUREMENT

Ultrasonic guided wave imaging with deep learning: Applications in corrosion mapping

(2022) Xiaocen Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Abnormal vibration detection of wind turbine based on temporal convolution network and multivariate coefficient of variation

(2022) Jun Zhan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

(2022) Araliya Mosleh et al.   VEHICLE SYSTEM DYNAMICS

A two-level adaptive chirp mode decomposition method for the railway wheel flat detection under variable-speed conditions

(2021) Shiqian Chen et al.   JOURNAL OF SOUND AND VIBRATION

The adoption of deep neural network (DNN) to the prediction of soil liquefaction based on shear wave velocity

(2021) Yonggang Zhang et al.   Bulletin of Engineering Geology and the Environment

MBSNet: A deep learning model for multibody dynamics simulation and its application to a vehicle-track system

(2021) Yunguang Ye et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robustness enhancement of machine fault diagnostic models for railway applications through data augmentation

(2021) Dachuan Shi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning based virtual point tracking for real-time target-less dynamic displacement measurement in railway applications

(2021) Dachuan Shi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

(2021) Weihua Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw

(2020) Li Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

(2020) Xingqiu Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An approach for wheel flat detection of railway train wheels using envelope spectrum analysis

(2020) Araliya Mosleh et al.   Structure and Infrastructure Engineering

A spatial coupling model to study dynamic performance of pantograph-catenary with vehicle-track excitation

(2020) Yang Song et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A data-driven method for estimating wheel flat length

(2019) Yunguang Ye et al.   VEHICLE SYSTEM DYNAMICS

Wheel flat can cause or exacerbate wheel polygonization

(2019) Yunguang Ye et al.   VEHICLE SYSTEM DYNAMICS

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Impact detection using a machine learning approach and experimental road roughness classification

(2018) Christian Gorges et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems

(2018) Roozbeh Razavi-Far et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault detection method for railway wheel flat using an adaptive multiscale morphological filter

(2017) Yifan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

(2017) I Putra et al.   SENSORS

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Adaptive stochastic resonance method for impact signal detection based on sliding window

(2013) Jimeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques

(2013) B. Liang et al.   VEHICLE SYSTEM DYNAMICS

Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls

(2012) Fabio Bagalà et al.   PLoS One

An ultrasonic sensor for monitoring wheel flange/rail gauge corner contact

(2012) Rob S Dwyer-Joyce et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Development of a Fiber-Optic Sensing System for Train Vibration and Train Weight Measurements in Hong Kong

(2012) C. C. Lai et al.   Journal of Sensors

Track Condition Analyser: Identification of Rail Rolling Surface Defects, Likely to Generate Fatigue Damage in Wheels, Using Instrumented Wheelset Measurements

(2010) P Gullers et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT