Robust condition monitoring of rolling element bearings


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Robust condition monitoring and fault diagnosis of rolling element bearings using improved EEMD and statistical features[J]. Measurement science and technology, 2014 2 ...

Dynamic modelling and fault analysis of wear evolution in ....

This paper presents results of a comparative experimental study on the application of the ultrasound technique for condition monitoring of low speed rolling element bearings and conventional ...

Dynamic modelling and fault analysis of wear evolution in ....

Robust condition monitoring tools are needed to guarantee the healthy state of rolling element bearings during the operation. The condition of the monitoring tools indicates the upcoming failures which provides more time for maintenance planning by monitoring the deterioration i.e. wear evolution rather than just detecting the defects.

How Sensor Performance Enables Condition-Based Monitoring ....

Condition-Based Monitoring Solutions ... and robust so that real-time monitoring can expand beyond basic detection of potential equipment faults to deliver insightful and actionable information. ... Figure 5. Examples of (top) rolling element bearings and (bottom) lubrication and discharge current defects.

Bearing fault diagnosis using FFT of intrinsic mode functions ....

V.K. Rai, A.R. Mohanty, Condition monitoring techniques for rolling element bearings: an overview, in: Proceedings of National Conference on Role of NDE in Modern ...

Robust condition monitoring and fault diagnosis of rolling ....

Then the correlation analysis and data fusion technology are introduced to extract statistical features from these decomposition results of IEEMD. Finally, a complete self-zero space model is constructed for the condition monitoring and fault diagnosis of rolling element bearings.

An Intelligent System For Bearing Condition Monitori...

Rolling-element bearings are widely used in various mechanical and electrical applications. Accordingly, a reliable bearing health condition monitoring system is very useful in industries to detect incipient defects in bearings, so as to prevent machinery performance degradation and malfunction.

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Diagnosis of Rolling Element Bearings Zhipeng Feng, Tianjin Wang, Ming J Zuo et al.-Robust condition monitoring and fault diagnosis of rolling element bearings using improved EEMD and statistical features Fan Jiang, Zhencai Zhu, Wei Li et al.-Enhanced Fault Detection of Rolling Element Bearing Based on Cepstrum Editing and Stochastic Resonance

Dynamic modelling and fault analysis of wear evolution in ....

This paper presents results of a comparative experimental study on the application of the ultrasound technique for condition monitoring of low speed rolling element bearings and conventional ...

Rolling-element bearing - Wikiped...

A rolling-element bearing, also known as a rolling bearing, is a bearing which carries a load by placing rolling elements (such as balls or rollers) between two bearing rings called races.The relative motion of the races causes the rolling elements to roll with very little rolling resistance and with little sliding.. One of the earliest and best-known rolling-element bearings are sets of logs ...

The use of acoustic emission information to ... - SpringerLi...

The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines ... Therefore, in order to avoid unexpected breakdowns, reliable and robust bearing condition monitoring techniques are demanded. ... Nakra B (1992) Comparison of vibration and acoustic measurement ...

Fault diagnosis of rolling element bearing based on S ....

Robust condition monitoring and fault diagnosis of rolling element bearings using improved EEMD and statistical features Fan Jiang, Zhencai Zhu, Wei Li et al.-Recent citations Fault Severity Monitoring of Rolling Bearings Based on Texture Feature Extraction of Sparse Time Frequency Images Yan Du et al-Intelligent fault diagnosis of rolling ...

Review of Condition Monitoring of Rolling Element Bearing ....

Review of Condition Monitoring of Rolling Element Bearing Using Vibration Analysis and Other Techniques ... Smith JD (1984) Vibration monitoring of rolling element bearings by the high frequency resonance technique—a review. ... Rehab I, Abdalla GM, Ball AD (2018) A robust detector for rolling element bearing condition monitoring based on the ...

Robust condition monitoring of rolling element bearings ....

This study presents a robust condition monitoring methodology for rolling element bearings that employs a novel empirical mode decomposition (EMD)-based method to eliminate high-level noise from an acoustic emission (AE) signal and a discrete wavelet packet transform (DWPT)-based envelope analysis technique to effectively search for symptoms of defective bearings.

The Role of Vibration Monitoring in Predictive Maintenan...

Monitoring the condition of rolling bearings is therefore essential and vibration based monitoring is more likely to detect the early onset of a fault. 2.2 Preventive Maintenance With Preventive Maintenance (PM), machinery is overhauled on a regular basis regardless of the condition of the parts.

A robust detector for rolling element bearing condition ....

A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram ... Envelope analysis is a widely used method for rolling element bearing fault detection. To obtain high detection accuracy, it is critical to determine an optimal frequency ...

江...

Robust condition monitoring and fault diagnosis of rolling element bearings using improved EEMD and statistical features[J]. Measurement science and technology, 2014 2 ...

A Fault Diagnosis System for Rotary Machinery Supported by ....

The failure of rolling element bearings is one of the foremost causes of breakdown in rotary machinery. So far, a variety of vibration-based techniques have been developed to monitor the condition of bearings; however, the role of vibration behavior is rarely considered in the proposed techniques.

An Intelligent System For Bearing Condition Monitori...

prognosis [3-9]. Thus, this thesis is focused on the condition monitoring of rolling element bearings. From a mechanical structure standpoint, a bearing is different from a gear in that a bearing is a complex system which consists of two rings and a set of elements running in the tracks between the rings.