Bearing Condition Monitoring for Preventive Maintenance in a Production Environment

Among the different maintenance techniques applied to wind turbine (WT) components, online condition monitoring is probably the most promising technique. The maintenance models based on online condition monitoring have been examined in many studies. However, no study has considered preventive maintenance models with incorporated probabilities of correct and incorrect decisions made during continuous condition monitoring. This article presents a mathematical model of preventive maintenance, with imperfect continuous condition monitoring of the WT components. For the first time, the article introduces generalized expressions for calculating the interval probabilities of false positive, true positive, false negative, and true negative when continuously monitoring the condition of a WT component. Mathematical equations that allow for calculating the expected cost of maintenance per unit of time and the average lifetime maintenance cost are derived for an arbitrary distribution of time to degradation failure. A numerical example of WT blades maintenance illustrates that preventive maintenance with online condition monitoring reduces the average lifetime maintenance cost by 11.8 times, as compared to corrective maintenance, and by at least 4.2 and 2.6 times, compared with predetermined preventive maintenance for low and high crack initiation rates, respectively.

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Rolling Element Bearing Condition Monitoring and Diagnosis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.34-35.332 ◽

2010 ◽

Vol 34-35 ◽

pp. 332-337

Author(s):

Hui Bin Lin ◽

Kang Ding

Keyword(s):

Condition Monitoring ◽

Rolling Element Bearing ◽

Bearing Fault ◽

Monitoring And Diagnosis ◽

Bearing Condition Monitoring ◽

Envelope Detection ◽

Rolling Element ◽

Machine Speed ◽

Bearing Characteristic ◽

The Impact

Bearing failure is one of the foremost causes of breakdown in rotating machinery. To date, Envelope detection is always used to identify faults occurring at the Bearing Characteristic Frequencies (BCF). However, because the impact vibration generated by a bearing fault has relatively low energy, it is often overwhelmed by background noise and difficult to identify. Combined the results of extensive experiments performed in a series of bearings with artificial damage, this research investigates the effect of many influencing factors, such as demodulation methods, sampling frequency, variable machine speed and the signals collected in different directions, on the effectiveness of demodulation and the implications for bearing fault detection. By understanding these effects, a more skillful application of the envelope detection in condition monitoring and diagnosis is achieved.

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Use of Micro-Electro Mechanical Sensors in Bearing Condition Monitoring, A Review

International Journal of Mechanical and Production Engineering Research and Development ◽

10.24247/ijmperdjun20201124 ◽

2020 ◽

Vol 10 (3) ◽

pp. 11773-11780

Author(s):

H. S. Kumar H. S. Kumar ◽

Keyword(s):

Condition Monitoring ◽

Bearing Condition Monitoring ◽

Mechanical Sensors

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Bearing Scuffing Detection and Condition Monitoring Using Virtual Instrumentation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.657.604 ◽

2014 ◽

Vol 657 ◽

pp. 604-608 ◽

Cited By ~ 1

Author(s):

Carmen Bujoreanu ◽

Florin Breabăn

Keyword(s):

Condition Monitoring ◽

Virtual Instrument ◽

Friction Torque ◽

Diagnostic Methods ◽

Virtual Instrumentation ◽

Friction Forces ◽

Data Acquisition Board ◽

Bearing Condition Monitoring ◽

Braking Torque ◽

Vibration Signature

Bearing condition monitoring confronts the most machine users. Diagnostic methods used to include bearing problems represent one of the most important challenges. The scuffing phenomenon initiation of the bearing elements produces an important increase in the vibration level and can be emphasized by the analysis of the bearing friction forces which are the most sensitive indicator of the bearing failure. Commonly used technique for damage detection is the vibration signature analysis that must be carefully utilized in conjunction with the friction torque monitoring through the strain gauges measurements. In order to detect the scuffing onset, the paper presents an experimental setup for the scuffing tests performed on a 7206 ball bearing. A virtual instrument monitoring the friction force respectively the braking torque was created. An accelerometer captures the signal from the bearing outer ring then it is processed using PCI-4451 National Instruments data acquisition board and LabVIEW soft.

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