scholarly journals Rolling element bearing failure analysis: A case study

2013 ◽  
Vol 1 (1) ◽  
pp. 15-17 ◽  
Author(s):  
R.K. Upadhyay ◽  
L.A. Kumaraswamidhas ◽  
Md.Sikandar Azam
Keyword(s):  
Failure Analysis ◽  
Rolling Element Bearing ◽  
Bearing Failure ◽  
Rolling Element ◽  
Element Bearing

Diagnosis of Rolling-Element Bearings Failure by Localized Electrical Current Between Track Surfaces of Races and Rolling-Elements

2002 ◽  
Vol 124 (3) ◽  
pp. 468-473 ◽  
Author(s):  
Har Prashad
Keyword(s):  
Theoretical Model ◽  
Electrical Current ◽  
Rolling Element Bearing ◽  
Rolling Element Bearings ◽  
Bearing Failure ◽  
Cause Analysis ◽  
Rolling Element ◽  
Rolling Elements ◽  
Dimensional Parameters ◽  
Element Bearing

The diagnosis and cause analysis of rolling-element bearing failure have been well studied and established in literature. Failure of bearings due to unforeseen causes were reported as: puncturing of bearings insulation; grease deterioration; grease pipe contacting the motor base frame; unshielded instrumentation cable; the bearing operating under the influence of magnetic flux, etc. These causes lead to the passage of electric current through the bearings of motors and alternators and deteriorate them in due course. But, bearing failure due to localized electrical current between track surfaces of races and rolling-elements has not been hitherto diagnosed and analyzed. This paper reports the cause of generation of localized current in presence of shaft voltage. Also, it brings out the developed theoretical model to determine the value of localized current density depending on dimensional parameters, shaft voltage, contact resistance, frequency of rotation of shaft and rolling-elements of a bearing. Furthermore, failure caused by flow of localized current has been experimentally investigated.

scholarly journals Experimental Study of the Effect of Misalignment on Rolling Element Bearing

2021 ◽  
Vol 6 (7) ◽  
pp. 87-90
Author(s):  
Mohsin H. Albdery ◽  
Istvan Szabo
Keyword(s):  
Experimental Study ◽  
Thermal Imaging ◽  
Early Stage ◽  
Rolling Element Bearing ◽  
Bearing Failure ◽  
Rolling Element ◽  
Imaging Camera ◽  
Vibration Signature ◽  
Element Bearing ◽  
Machine Health

Any single machine rotary component in the process could result in downtime costs. It is necessary to monitor the overall machine health while it is in use. Bearing failure is one of the primary causes of machine breakdown in industry at high and low speeds. A vibration signature evaluation has historically determined misalignments in shafting systems. These misalignments are also responsible for the bearing increase in temperature. The purpose of this work is to undertake a comparative study to obtain the reliability of the effect of the amount of misalignment on bearing by using thermography measurement. An experimental study was performed in this paper to indicate the existence of machine misalignment at an early stage by measuring the bearing temperature using a thermal imaging camera. The effects of load, velocity, and misalignment on the bearings and their temperature increase have been investigated. The test bench's rolling-element bearing is an NTN UCP213-208 pillow block bearing. It has been observed that by tracking the change of temperature in bearings could lead to misalignment detection and the effect of the amount of misalignment on it.

Comparison of Advanced Signal-Processing Methods for Roller Bearing Faults Detection

2012 ◽  
Vol 19 (4) ◽  
pp. 715-726 ◽  
Author(s):  
Jacek Urbanek ◽  
Tomasz Barszcz ◽  
Tadeusz Uhl
Keyword(s):  
Wind Turbines ◽  
Roller Bearing ◽  
Rolling Element Bearing ◽  
Monitoring Methods ◽  
Operational Conditions ◽  
Rolling Element ◽  
Fast Development ◽  
Element Bearing ◽  
Signal Processing Methods

Abstract Wind turbines are nowadays one of the most promising energy sources. Every year, the amount of energy produced from the wind grows steadily. Investors demand turbine manufacturers to produce bigger, more efficient and robust units. These requirements resulted in fast development of condition-monitoring methods. However, significant sizes and varying operational conditions can make diagnostics of the wind turbines very challenging. The paper shows the case study of a wind turbine that had suffered a serious rolling element bearing (REB) fault. The authors compare several methods for early detection of symptoms of the failure. The paper compares standard methods based on spectral analysis and a number of novel methods based on narrowband envelope analysis, kurtosis and cyclostationarity approach. The very important problem of proper configuration of the methods is addressed as well. It is well known that every method requires setting of several parameters. In the industrial practice, configuration should be as standard and simple as possible. The paper discusses configuration parameters of investigated methods and their sensitivity to configuration uncertainties

Case study: Formation of white etching layers in a failed rolling element bearing race

Wear ◽  
2018 ◽  
Vol 396-397 ◽  
pp. 126-134 ◽  
Author(s):  
Li-Biao Wan ◽  
Shu-Xin Li ◽  
Si-Yuan Lu ◽  
Yun-Shuai Su ◽  
Xue-Dao Shu ◽  
...  
Keyword(s):  
Rolling Element Bearing ◽  
Rolling Element ◽  
Bearing Race ◽  
Element Bearing

Health Index Development for Fault Diagnosis of Rolling Element Bearing

2021 ◽  
pp. 112-143
Author(s):  
Kumar H. S. ◽  
Srinivasa P. Pai ◽  
Sriram N. S.
Keyword(s):  
Image Processing ◽  
Fault Diagnosis ◽  
Health Management ◽  
Rolling Element Bearing ◽  
Bearing Failure ◽  
Health Index ◽  
Rotating Machine ◽  
Rolling Element ◽  
Incipient Faults ◽  
Element Bearing

Condition monitoring (CM) is the process that assesses the health of equipment/systems at regular intervals or continuously and exposes incipient faults if any. Bearing failure is one of the foremost causes of breakdown in rotating machine, resulting in costly systems downtime. This chapter presents an application of health index (HI) for fault diagnosis of rolling element bearing (REB) which has been successfully used in diverse fields such as image processing, prognostic health management (PHM), and involves integration of mathematical and statistical concepts. There is hardly any effort done in developing HIs using different aspects of wavelet transform (WT) for fault diagnosis of REB. A comparison of the performances of the identified approaches has been made to choose the best one for REB fault diagnosis.

Rolling Element Bearing Monitoring Using High Gain Eddy Current Transducers

1985 ◽  
Vol 107 (1) ◽  
pp. 160-164 ◽  
Author(s):  
R. G. Harker ◽  
J. S. Hansen
Keyword(s):  
Eddy Current ◽  
High Speed ◽  
High Gain ◽  
Activity Monitor ◽  
Rolling Element Bearing ◽  
Bearing Failure ◽  
Outer Race ◽  
Rolling Element ◽  
Element Bearing ◽  
Bearing Monitoring

A technique is described which provides early detection of rolling element bearing failure through direct observation of the bearing outer race with a high-gain eddy current probe. Data is presented that compares REBAM™—Rolling Element Bearing Activity Monitor—to traditional monitoring approaches that employ case mounted velocity and acceleration transducers. Generally, the REBAM approach simplifies the analysis of bearing condition because of its proximity to the bearing and its insensitivity to extraneous vibration sources due to the relative mounting approach employed. A summary of field results is presented and its suitability to high speed gas turbine monitoring is discussed.

Failure Mode Analysis of Rolling Element Bearings

2001 ◽  
Author(s):  
Rakesh Sehgal ◽  
O. P. Gandhi ◽  
S. Angra
Keyword(s):  
Failure Mode ◽  
Rolling Element Bearing ◽  
Mode Analysis ◽  
Connection Matrix ◽  
Rolling Element Bearings ◽  
Bearing Failure ◽  
Rolling Element ◽  
Failure Mode Analysis ◽  
Element Bearing ◽  
Excessive Noise

Abstract A procedure based on digraph modeling and matrix approach is suggested for failure mode analysis of rolling element bearings. A Bearing Failure Mode Digraph (BFMDj for a failure mode of the rolling element bearing is defined, which considers contributing cause events and their interrelations. The digraph is analyzed using connection and reachability matrices. A Bearing Failure Mode Connection Matrix (BFMCM) is obtained for the Bearing Failure Mode Digraph and a Bearing Failure Mode Reachability Matrix (BFMRM) is derived from it, which helps in identifying the stage relationship among various cause events, and evaluates the importance of the cause events for the failure mode. It therefore provides directions for appropriate action for minimization of the failure mode thus leading to improvement in reliability of the rolling element bearing. The methodology is developed considering the failure mode - bearing seizure and is illustrated by considering the failure mode - excessive noise.

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