Erratum: Reliable Fault Diagnosis of Low-Speed Bearing Defects Using a Genetic Algorithm

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• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8862
• 期：1
• 页码：E1-E2
• 全文大小：111 KB
• 作者单位：PRICAI 2014: Trends in Artificial Intelligence
• 丛书名：978-3-319-13559-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Andy C.C. Tan and Eric Y.H. Kim should have been included as authors of the paper starting on page 248 of this volume, because the data and images (Figs. 1 and 2) presented originated from a low-speed machinery fault simulator, developed under the leadership of Andy Tan at CRC IEAM, Queensland University of Technology, Australia. The header should have read as follows: Reliable Fault Diagnosis of Low-Speed Bearing Defects Using a Genetic Algorithm Phuong Nguyen1, Myeongsu Kang1, Jaeyoung Kim1, Jong-Myon Kim1,*, Andy C.C. Tan2, and Eric Y. Kim3 1 School of Electrical, Electronics, and Computer Engineering, University of Ulsan, Ulsan, South Korea 2 School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, Australia 3 Asset Management Department, CMOC Northparkes Mine, Australia {phuongnguyen.cse,ilmareboy,kjy7097,jongmyon.kim, yonghan.kim}@gmail.com, a.tan@qut.edu.au The first paragraph of Section 3 should have been written as follows: “In this study, data obtained from a low-speed machinery fault simulator developed by CRC-IEAM, Queensland University of Technology (QUT) was used, as shown in Fig. 1(a) [13, 14, 15]. At the drive end of the test rig, the shaft is connected to a reduction gear box (10.1:1) through a coupling. The fault simulator allows a constant radial load to be applied to the driven-end support and the load is measured by a load cell. To capture AE signals, a wideband AE sensor (type R3α from Physical Acoustic Corporations) was attached on top of the bearing housing as depicted in Fig. 1(b).-/p> The caption underneath Fig. 1 should have been written as follows: “Fig. 1. (a) QUT test rig for experiments [13] and (b) location of AE sensor to record continuous AE signals [14, 15]-/p> The second paragraph of Section 3 should have been written as follows: “Cylindrical roller bearings (i.e., SKF NF307) were used in the test rig. In order to diagnose multiple bearing defects, five different bearing fault types were developed by QUT which include inner-race crack (IRC), inner-race spall (IRS), outer-race crack (ORC), outer-race spall (ORS) and roller medium spall (RMS) as illustrated in Fig. 2. The AE signals were acquired from the test bearing rotating at a low speed of 20 RPM with 500-N and 2-kN load conditions. To produce crack and spall on the surface of a bearing, they used a diamond cutter bit and air-speed grinding tool. In the tests, 90 AE signals with 1.5-seconds-long of data were obtained for each bearing defect and sampled at 500 kHz in this study.-/p> The caption underneath Fig. 2 should have been written as follows: “Fig. 2. Seeded bearing defects [14, 15]: (a) crack on inner-race (IRC, 0.1mm in width), (b) spall on inner-race (IRS, 0.6mm), (c) crack on outer-race (ORC, 0.1mm), (d) spall on outer-race (ORS, 0.7mm), (e) spall on roller (RMS, 1.6mm)-/p> The following three references should have been included in the References section: 13. Kosse, V., Tan, A.C.C.: Development of Test Facilities for Verification of Machine Condition Monitoring Methods for Low Speed Machinery. In: Proc. World Cong. Eng. Asset. Manag., pp. 192-97, Gold Coast, Australia (2006) 14. Kim, Y.-H., Tan, A.C.C., Mathew, J., Kosse, V., Yang, B.S.: A Comparative Study on the Application of Acoustic Emission Technique and Acceleration Measurements for Low Speed Condition Monitoring. In: Proc. Asia-Pacific Vib. Conf., Sapporo, Japan (2007) 15. Kim, E.Y., Tan, A.C.C., Yang, B.S., Kosse, V.: Experimental Study on Condition Monitoring of Low Speed Bearings: Time Domain Analysis. In: Proc. Australasian Cong. Appl. Mechatronics, Brisbane, Australia (2007)