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A monotonic degradation assessment index of rolling bearings using fuzzy support vector data description and running time.

Shen Z, He Z, Chen X, Sun C, Liu Z - Sensors (Basel) (2012)

Bottom Line: DSI inherits all advantages of ε⁻ and overcomes its disadvantage.A run-to-failure test is carried out to validate the performance of the proposed method.The results show that DSI reflects the growth of the damages with running time perfectly.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China. zjshen.2007@stu.xjtu.edu.cn

ABSTRACT
Performance degradation assessment based on condition monitoring plays an important role in ensuring reliable operation of equipment, reducing production downtime and saving maintenance costs, yet performance degradation has strong fuzziness, and the dynamic information is random and fuzzy, making it a challenge how to assess the fuzzy bearing performance degradation. This study proposes a monotonic degradation assessment index of rolling bearings using fuzzy support vector data description (FSVDD) and running time. FSVDD constructs the fuzzy-monitoring coefficient ε⁻ which is sensitive to the initial defect and stably increases as faults develop. Moreover, the parameter ε⁻ describes the accelerating relationships between the damage development and running time. However, the index ε⁻ with an oscillating trend disagrees with the irreversible damage development. The running time is introduced to form a monotonic index, namely damage severity index (DSI). DSI inherits all advantages of ε⁻ and overcomes its disadvantage. A run-to-failure test is carried out to validate the performance of the proposed method. The results show that DSI reflects the growth of the damages with running time perfectly.

No MeSH data available.


Related in: MedlinePlus

Location of accelerometer sensors and temperature sensors.
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f4-sensors-12-10109: Location of accelerometer sensors and temperature sensors.

Mentions: The two test bearings, 30311 tapered roller bearings, are installed on both ends of the shaft, while the two steady bearings, N312 cylindrical roller bearings, are fixed at the middle of the shaft. The axial load Fa is directly inflicted on bearing 4, and transmitted to bearing 1 by the shaft. The radial load Fr is exerted on the steady bearings, transferred to the shaft, and finally inflicted on the test bearings. Table 1 lists the parameters of test bearings and steady bearings. The vibration signals are acquired with a sampling frequency of 10 kHz per channel by YE6267 dynamic data collection and analysis system by Sinocera Piezotronics Inc. The data recorder is equipped with low-pass filters at the input stage for anti-aliasing. Each sample with 32,768 points is collected every five min. The acceleration sensor, as shown in Figure 4, is the Lance LC0401 High Sensitivity ICP accelerometer.


A monotonic degradation assessment index of rolling bearings using fuzzy support vector data description and running time.

Shen Z, He Z, Chen X, Sun C, Liu Z - Sensors (Basel) (2012)

Location of accelerometer sensors and temperature sensors.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472819&req=5

f4-sensors-12-10109: Location of accelerometer sensors and temperature sensors.
Mentions: The two test bearings, 30311 tapered roller bearings, are installed on both ends of the shaft, while the two steady bearings, N312 cylindrical roller bearings, are fixed at the middle of the shaft. The axial load Fa is directly inflicted on bearing 4, and transmitted to bearing 1 by the shaft. The radial load Fr is exerted on the steady bearings, transferred to the shaft, and finally inflicted on the test bearings. Table 1 lists the parameters of test bearings and steady bearings. The vibration signals are acquired with a sampling frequency of 10 kHz per channel by YE6267 dynamic data collection and analysis system by Sinocera Piezotronics Inc. The data recorder is equipped with low-pass filters at the input stage for anti-aliasing. Each sample with 32,768 points is collected every five min. The acceleration sensor, as shown in Figure 4, is the Lance LC0401 High Sensitivity ICP accelerometer.

Bottom Line: DSI inherits all advantages of ε⁻ and overcomes its disadvantage.A run-to-failure test is carried out to validate the performance of the proposed method.The results show that DSI reflects the growth of the damages with running time perfectly.

View Article: PubMed Central - PubMed

Affiliation: State Key Laboratory for Manufacturing System Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China. zjshen.2007@stu.xjtu.edu.cn

ABSTRACT
Performance degradation assessment based on condition monitoring plays an important role in ensuring reliable operation of equipment, reducing production downtime and saving maintenance costs, yet performance degradation has strong fuzziness, and the dynamic information is random and fuzzy, making it a challenge how to assess the fuzzy bearing performance degradation. This study proposes a monotonic degradation assessment index of rolling bearings using fuzzy support vector data description (FSVDD) and running time. FSVDD constructs the fuzzy-monitoring coefficient ε⁻ which is sensitive to the initial defect and stably increases as faults develop. Moreover, the parameter ε⁻ describes the accelerating relationships between the damage development and running time. However, the index ε⁻ with an oscillating trend disagrees with the irreversible damage development. The running time is introduced to form a monotonic index, namely damage severity index (DSI). DSI inherits all advantages of ε⁻ and overcomes its disadvantage. A run-to-failure test is carried out to validate the performance of the proposed method. The results show that DSI reflects the growth of the damages with running time perfectly.

No MeSH data available.


Related in: MedlinePlus