access icon openaccess Study on online monitoring wear debris sensor of wind turbine gearbox

Lubrication is one of the critical factors for the normal operation of wind turbine's gearbox, which carries abundant and various wear debris. Accordingly, these debris reflects the running state of the equipment and forecasts the early fault of wind turbine gearbox effectively. Thus, the authors can achieve predictive maintenance, even avoid the occurrence of safety accidents. In order to realise real-time online monitoring of lubrication, this article studied the principle of wear debris detection sensor, constructed approximate mathematical model of inductive wearing debris sensor, produced a prototype device, and carried out the monitoring test of metal wearing debris without oil. Experiment shown that the designed sensor can detect the signal of metal wear debris with the smallest diameter to 80μm, which can diagnose the early fault of the wind turbine.

Inspec keywords: lubrication; maintenance engineering; gears; lubricating oils; lubricants; condition monitoring; fault diagnosis; wind turbines; inductive sensors; sensors; wear

Other keywords: lubrication; real-time online monitoring; inductive wearing debris sensor; abundant wear debris; various wear debris; normal operation; size 80.0 mum; early fault; wear debris detection sensor; metal wear debris; online monitoring wear debris sensor; wind turbine gearbox; metal wearing debris; monitoring test

Subjects: Engineering materials; Sensing devices and transducers; Mechanical components; Inspection and quality control; Wind power plants; Tribology (mechanical engineering); Instrumentation; Maintenance and reliability

References

    1. 1)
      • 10. Kim, B., Han, S., Kim, K.: ‘Planar spiral coil design for a pulsed induction metal detector to improve the sensitivities’, IEEE Antennas Wirel. Propag. Lett., 2014, 13, pp. 15011504.
    2. 2)
      • 9. Davis, J.P., Carletta, J.E., Veillette, R.J., et al: ‘Instrumentation circuitry for an inductive wear debris sensor’. 2012 IEEE 10th Int. Conf. on New Circuits and Systems (NEWCAS), Montreal, Canada, 2012, pp. 501504.
    3. 3)
      • 6. Ueda, M., Sato, T., Kondo, M.: ‘Superresolution by multiple superposition of image holograms having different carrier frequencies’, Optica Acta Int. J. Optics, 1973, 20, (5), pp. 403410.
    4. 4)
      • 3. Yan, X.P.: ‘Research and prospect of application software of oil monitoring technology’. Proc. of the National Conf. on equipment diagnostic technology, 1993.
    5. 5)
      • 15. Wang, Z.J., Zhao, J.H., Ding, G.F.: ‘New three-coil on-line monitoring sensor for lubricating oil abrasive particles’, Nanotechnol. Precis. Eng., 2015, 13, (2), pp. 154159.
    6. 6)
      • 16. Wu, C., Zheng, C.S, Ma, B.: ‘Simulation study on the characteristics of ferromagnetic abrasive particles in inductive abrasive sensor’, J. Instrum., 2011, 32, (12), pp. 27742780.
    7. 7)
      • 2. Jardine, A.K.S., Lin, D., Banjevic, D.: ‘A review on machinery diagnostics and prognostics implementing condition-based maintenance’, Mech. Syst. Signal Process., 2006, 20, (7), pp. 14831510.
    8. 8)
      • 11. Yin, Y.H, Yan, X.P, Xiao, H.L, et al: ‘Study on the magnetic field homogeneity of wear debris detector’, Wear, 2001, 21, (3), pp. 228231.
    9. 9)
      • 4. Miller, J.L., Kitalieyich, D.: ‘In-line oil debris monitor for aircraft engine condition assessment’. IEEE Aerospace Conf., Big Sky, USA, 2000, vol. 11, no. 8, pp. 4956.
    10. 10)
      • 7. Whittington, H.W., Flynn, B.W., Mills, G.H.: ‘An online wear debris monitor’, Meas. Sci. Technol., 1992, 3, (7), p. 656.
    11. 11)
      • 5. Shi, X.B, Xiong, Z.G, Li, Y.Z.: ‘Monitoring of wear status of gear box of wind turbine based on on-line oil and liquid abrasive particle detection’, Mech. Transm., 2014, 38, (10), pp. 7477.
    12. 12)
      • 1. Murali, S., Xia, X., Jagtiani, A.V., et al: ‘Capacitive Coulter counting: detection of metal wear particles in lubricant using a microfluidic device’, Smart Mater. Struct., 2009, 18, (3), p. 037001.
    13. 13)
      • 13. Peng, Z., Kessissoglou, N.J., Cox, M.: ‘A study of the effect of contaminant particles in lubricants using wear debris and vibration condition monitoring techniques’, Wear, 2005, 258, (11), pp. 16511662.
    14. 14)
      • 8. Karis Allen, K.J.: ‘Modification of existing laboratory sensor rig to accommodate debris sensors’.
    15. 15)
      • 14. Chambers, K.W., Arneson, M.C., Waggoner, C.A.: ‘An on-line ferromagnetic wear debris sensor for machinery condition monitoring and failure detection’, Wear, 1988, 128, (3), pp. 325337.
    16. 16)
      • 12. Kumar, S.: ‘Vibration and oil analysis detect a gearbox problem’, Vibrations, 2004, 30, (3), pp. 713.
http://iet.metastore.ingenta.com/content/journals/10.1049/joe.2018.9192
Loading

Related content

content/journals/10.1049/joe.2018.9192
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading