3.8 Proceedings Paper

An explicit literature review on bearing materials and their defect detection techniques

Related references

Note: Only part of the references are listed.
Review Engineering, Electrical & Electronic

Local Diagonal Maxima-Minima Pattern-based Edge Detection Technique for Ultrasound and Digital Radiography Images

Navdeep Yadav et al.

Summary: This paper presents a low dimensional edge descriptor for medical images based on local diagonal and non-diagonal maxima-minima pattern. The proposed methods reduce the length of feature vector significantly without compromising the quality of edge map. The experimental results demonstrate the superiority of the proposed methods in accuracy, Jaccard similarity index, specificity, sensitivity, and dice similarity coefficient compared to state-of-the-art methods.

IETE JOURNAL OF RESEARCH (2023)

Article Engineering, Multidisciplinary

Electrical fault detection in three-phase induction motor using deep network-based features of thermograms

Majid Khanjani et al.

Summary: This paper proposes an automatic method for detecting operating faults in three-phase induction motors based on thermal images. The method utilizes SIFT key-point matching, a pre-trained convolutional neural network, and K-means clustering to achieve a 100% detection rate for motor faults.

MEASUREMENT (2021)

Article Engineering, Multidisciplinary

Fault detection of wheel in wheel/rail system using kurtosis beamforming method

Long Chen et al.

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)

Article Materials Science, Multidisciplinary

Redistribution of carbon caused by butterfly defects in bearing steels

M. E. Curd et al.

ACTA MATERIALIA (2020)

Article Instruments & Instrumentation

Three-phase induction motor fault detection based on thermal image segmentation

Ammar K. Al-Musawi et al.

INFRARED PHYSICS & TECHNOLOGY (2020)

Article Engineering, Mechanical

Fault diagnosis of journal bearing in a hydropower plant using wear debris, vibration and temperature analysis: A case study

Rakesh Ranjan et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING (2020)

Article Engineering, Chemical

Acoustic signal based fault detection on belt conveyor idlers using machine learning

Xiangwei Liu et al.

ADVANCED POWDER TECHNOLOGY (2020)

Article Computer Science, Artificial Intelligence

An improved hyper smoothing function based edge detection algorithm for noisy images

Navdeep et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

Article Engineering, Multidisciplinary

WORM GEAR CONDITION MONITORING AND FAULT DETECTION FROM THERMAL IMAGES VIA DEEP LEARNING METHOD

Yunus Emre Karabacak et al.

EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY (2020)

Article Acoustics

Data processing and augmentation of acoustic array signals for fault detection with machine learning

L. A. L. Janssen et al.

JOURNAL OF SOUND AND VIBRATION (2020)

Article Computer Science, Interdisciplinary Applications

Chaos theory using density of maxima applied to the diagnosis of three-phase induction motor bearings failure by sound analysis

Jose Anselmo Lucena-Junior et al.

COMPUTERS IN INDUSTRY (2020)

Review Computer Science, Interdisciplinary Applications

Condition Monitoring and Fault Diagnosis of Induction Motors: A Review

Anurag Choudhary et al.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2019)

Article Engineering, Mechanical

Fault diagnosis of single-phase induction motor based on acoustic signals

Adam Glowacz

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)

Article Engineering, Mechanical

Effect of nature-inspired algorithms and hybrid dispatching rules on the performance of automatic guided vehicles in the flexible manufacturing system

V. K. Chawla et al.

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

An improved local binary pattern based edge detection algorithm for noisy images

Navdeep et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2019)

Article Computer Science, Information Systems

A Rotating Machinery Fault Diagnosis Method Based on Feature Learning of Thermal Images

Zhen Jia et al.

IEEE ACCESS (2019)

Article Engineering, Industrial

Material handling robots fleet size optimization by a heuristic

V. K. Chawla et al.

JOURNAL OF PROJECT MANAGEMENT (2019)

Article Engineering, Mechanical

Seizure behaviour of Pb-free engine bearing materials under dry condition

Daniel W. Gebretsadik et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY (2018)

Article Automation & Control Systems

Audible Sound-Based Intelligent Evaluation for Aluminum Alloy in Robotic Pulsed GTAW: Mechanism, Feature Selection, and Defect Detection

Zhifen Zhang et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Instruments & Instrumentation

Condition monitoring of turning process using infrared thermography technique - An experimental approach

Balla Srinivasa Prasad et al.

INFRARED PHYSICS & TECHNOLOGY (2017)

Article Engineering, Mechanical

A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection

Yongbo Li et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Mechanical

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Jinde Zheng et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)

Article Engineering, Mechanical

Seizure behaviour of some selected Pb-free engine bearing materials under lubricated condition

Daniel W. Gebretsadik et al.

TRIBOLOGY INTERNATIONAL (2017)

Article Engineering, Mechanical

Tribological behavior of copper-molybdenum disulfide composites

Jin-Kun Xiao et al.

Article Engineering, Manufacturing

Rolling Bearing Quality Evaluation based on a Morphological Filter and a Kolmogorov Complexity Measure

Jiang Kuosheng et al.

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING (2015)

Article Acoustics

Acoustic-based damage detection method

V. Arora et al.

APPLIED ACOUSTICS (2014)

Article Materials Science, Coatings & Films

Tribological properties of brass materials and their application for cages in rolling bearings

S. Laumann et al.

TRIBOLOGY-MATERIALS SURFACES & INTERFACES (2014)

Review Instruments & Instrumentation

Infrared thermography for condition monitoring - A review

S. Bagavathiappan et al.

INFRARED PHYSICS & TECHNOLOGY (2013)

Proceedings Paper Engineering, Mechanical

Bearing Thermal Conductance Measurement Test Method and Experimental Design

Yoshimi R. Takeuchi et al.

ROLLING ELEMENT BEARINGS, 9TH VOL (2012)

Article Materials Science, Multidisciplinary

A preliminary estimation of analysis methods of vibration signals at fault diagnosis in ball bearings

Pantelis N. Botsaris et al.

INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY (2011)

Article Materials Science, Multidisciplinary

The wear of aluminium-based journal bearing materials under lubrication

Erol Feyzullahoglu et al.

MATERIALS & DESIGN (2010)

Article Engineering, Mechanical

Quantitative estimation of wear amounts by real time measurement of wear debris in lubricating oil

Y. Iwai et al.

TRIBOLOGY INTERNATIONAL (2010)

Article Construction & Building Technology

Stainless steel in construction: A review of research, applications, challenges and opportunities

N. R. Baddoo

JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2008)

Article Engineering, Mechanical

Simulation and analysis of vibration signals generated by rolling element bearing with defects

Z Kiral et al.

TRIBOLOGY INTERNATIONAL (2003)

Article Engineering, Mechanical

The effects of surface defects on the fatigue of water- and oil-lubricated contacts

N Gao et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY (2000)