Methodology and Framework for Predicting Helicopter Rolling Element Bearing Failure

2012 ◽  
Vol 61 (4) ◽  
pp. 846-857 ◽  
Author(s):  
D. Siegel ◽  
C. Ly ◽  
J. Lee
2013 ◽  
Vol 1 (1) ◽  
pp. 15-17 ◽  
Author(s):  
R.K. Upadhyay ◽  
L.A. Kumaraswamidhas ◽  
Md.Sikandar Azam

2002 ◽  
Vol 124 (3) ◽  
pp. 468-473 ◽  
Author(s):  
Har Prashad

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.


2021 ◽  
Vol 6 (7) ◽  
pp. 87-90
Author(s):  
Mohsin H. Albdery ◽  
Istvan Szabo

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.


Author(s):  
Kumar H. S. ◽  
Srinivasa P. Pai ◽  
Sriram N. S.

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.


1985 ◽  
Vol 107 (1) ◽  
pp. 160-164 ◽  
Author(s):  
R. G. Harker ◽  
J. S. Hansen

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.


2001 ◽  
Author(s):  
Rakesh Sehgal ◽  
O. P. Gandhi ◽  
S. Angra

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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