TY - GEN
T1 - Towards model based prognostics - Characterization of fault size in bearings
AU - Kogan, Gideon
AU - Itzhak, Ifat
AU - Shaharabany, Shlomi
AU - Bortman, Jacob
AU - Klein, Renata
PY - 2013/1/1
Y1 - 2013/1/1
N2 - The characterization of a bearing fault and its size is a first important stage towards a reliable model based prognostics, leading to an assessment of the remaining useful life of the faulty bearing. This paper describes the first stage in a research aimed to propose an approach for model-based prognostics. The approach utilizes various methods of vibration analysis and vibration based condition indicators which proved to be effective for detecting bearing degradation. While the problem of detecting a fault is more researched, the relationship between the health indicators (aggregated condition indicators) and the size of the damage, as well as the modelling of evolving damages are less researched and less understood. As a result, the ability to assess the severity of the damage or predict the remaining useful lifetime of a damaged bearing is limited. The current research is aimed to advance the knowledge in this difficult problem. A 3D ball-bearing model that enables a simulation of its dynamics under the influence of a wide spectrum of faults was used. The goal was to study and predict the influence of the bearing fault size and the load on the generated vibration pattern. Based on the obtained insights, several health indicators were considered and compared. The relationship between the fault size and the selected health indicators will be demonstrated by presenting results from experiments on a test fixture with seeded faults of different sizes and different loads, as well as the corresponding outcome of the dynamic model of the bearing.
AB - The characterization of a bearing fault and its size is a first important stage towards a reliable model based prognostics, leading to an assessment of the remaining useful life of the faulty bearing. This paper describes the first stage in a research aimed to propose an approach for model-based prognostics. The approach utilizes various methods of vibration analysis and vibration based condition indicators which proved to be effective for detecting bearing degradation. While the problem of detecting a fault is more researched, the relationship between the health indicators (aggregated condition indicators) and the size of the damage, as well as the modelling of evolving damages are less researched and less understood. As a result, the ability to assess the severity of the damage or predict the remaining useful lifetime of a damaged bearing is limited. The current research is aimed to advance the knowledge in this difficult problem. A 3D ball-bearing model that enables a simulation of its dynamics under the influence of a wide spectrum of faults was used. The goal was to study and predict the influence of the bearing fault size and the load on the generated vibration pattern. Based on the obtained insights, several health indicators were considered and compared. The relationship between the fault size and the selected health indicators will be demonstrated by presenting results from experiments on a test fixture with seeded faults of different sizes and different loads, as well as the corresponding outcome of the dynamic model of the bearing.
UR - http://www.scopus.com/inward/record.url?scp=84905820634&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84905820634
SN - 9781629939926
T3 - 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013
SP - 350
EP - 362
BT - 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013
PB - British Institute of Non-Destructive Testing
T2 - 10th International Conference on Condition Monitoring, CM 2013 and Machinery Failure Prevention Technologies 2013, MFPT 2013
Y2 - 18 June 2013 through 20 June 2013
ER -