Data|driven vibration|based bearing fault diagnosis using non ...

Data-driven vibration-based bearing fault diagnosis using non ...

In both test setups, the vibrations of the bearing are measured by accelerometers. These vibration data are used to detect the faults in a ...

(PDF) Data-driven vibration-based bearing fault diagnosis using non ...

[Show full abstract] Center) of rolling bearings was performed to collect vibration data over a whole lifetime (normal-fault-failure). The result shows that the ...

Data-driven vibration-based bearing fault diagnosis ... - JSSS - Metrics

Data-driven vibration-based bearing fault diagnosis using non-steady-state training data · Kurt Pichler · Ted Ooijevaar · Clemens Hesch · Christian ...

[PDF] Data-driven vibration-based bearing fault diagnosis using non ...

An empirical study in which a universally applicable fault diagnosis method is used to analyse vibration data of bearings measured with ...

Data-driven vibration-based bearing fault diagnosis using non ...

Title: Data-driven vibration-based bearing fault diagnosis using non-steady-state training data. ; Language: English ; Authors: Pichler, Kurt1 (AUTHOR) kurt.

HUST bearing: a practical dataset for ball bearing fault diagnosis

Each vibration signal is sampled at a rate of 51,200 samples per second for 10 s. The data acquisition system is elaborately designed with high ...

Data-driven discriminative K-SVD for bearing fault diagnosis

The vibration signals generated by bearings are usually containing a variety of noise. ... Unlike conventional methods, there is no need to have a specific fault ...

A new bearing fault diagnosis method via simulation data driving ...

Focusing on the no fault data problems, this paper proposes a new transfer learning method based on simulation data.

Data‐Driven Bearing Fault Diagnosis for Induction Motor

To achieve efficient and accurate fault detection, we explore vibration-based analysis. Traditional methods rely on manual feature extraction, ...

Machine Learning Based Bearing Fault Diagnosis Using the Case ...

Finding bearing faults in time can avoid affecting the operation of the entire equipment. The data-driven fault diagnosis technology of bearings ...

Bearing Fault Diagnosis Approach under Data Quality Issues - MDPI

In vibration data with high sampling rate, our results showed that the proposed measure, scaling exponent, provides an accurate identification ...

Bearing fault diagnosis and prognosis using data fusion based ...

The features extracted from the bearing vibration signal may be used for fault diagnosis and prognosis. However, the traditional features may not be sensitive ...

Vibration Response Based Intelligent Non-Contact Fault Diagnosis ...

A non-contact laser based vibration sensor has been developed and used for bearing health monitoring in this paper. The vibration data has been ...

Rolling Bearing Fault Diagnosis Using Multi-Sensor Data Fusion ...

To satisfy the requirements of the end-to-end fault diagnosis of rolling bearings, a hybrid model, based on optimal SWD and 1D-CNN, with the ...

A Novel Method for Bearing Fault Diagnosis Based on Novel ...

Numerous intrinsic scale components were produced by decomposing vibration signals using ELCD. This study presents a proposed methodology for the diagnosis of ...

Factory-Based Vibration Data for Bearing-Fault Detection - MDPI

The purpose of this study was to describe a new dataset obtained from an industrial environment. To achieve this, 10 different bearings with faults and 1 ...

Ranked feature-based data-driven bearing fault diagnosis using ...

This article analyzes a data-driven fault diagnosis method for rolling element bearing under different operating conditions.

A New Statistical Features Based Approach for Bearing Fault ... - NCBI

Inner and outer race faults are detected using the root mean square measure of the vibration signal and adaptive neuro-fuzzy inference system ...

Early fault diagnosis in rolling element bearings: comparative ...

The first method uses a knowledge-based approach whereas the second uses a data-driven approach. The ultimate purpose of both approaches was to ...

Data‐Driven Fault Diagnosis for Rolling Bearing Based on DIT‐FFT ...

This study proposed an approach, based on the Fast Fourier Transform (FFT) with Decimation-In-Time (DIT) and XGBoost algorithm, to identify the fault type of ...