Investigation of wide band Fiber Bragg grating accelerometer use for rotating AC machinery condition monitoring Sinisa Djurovic a, Peter Kung b et al. a School of Electrical and Electronic Engineering, The University of Manchester, UK; b QPS Photronics, Pointe Claire, Canada. Outline 1. Introduction 2. Motivation---Wind generator failure statistics 3. FBG wide band vibration monitoring system 4. Generator test rig 5. Bearing fault specific vibration frequencies 6. Measured Vibration spectra under bearing fault conditions 7. Generator electrical fault specific vibration frequencies 8. Measured Vibration spectrum for stator short-circuit and open circuit fault 9. Conclusions Motivation • Vibration analysis frequently used to detect mechanical and electrical faults in rotating machines • Wind generators larger than 2MW show combined bearing and stator winding failures of more than 73% • Cost effective and robust wide bandwidth vibrations required to replace currently used costly piezoelectric (PE) accelerometers Fibre optics Vibration sensing • Immune to EMI and high voltages • Longer life • Proven for monitoring low frequency end winding vibration in large generators • Direct electrical output • Distributed vibration sensing using Long Gauge technology • Single sensor measures both temperature and vibration Large wind turbines failure statistics UpWind: Design limits and solutions for very large wind turbines, EWEA 2011 Wind generator failure modes 1-2 MW >2 MW Wide Band Vibrofibre Bandwidth of ≈1000 Hz to cover bearing, stator/rotor electrical faults frequencies achieved by changing the diving board material to Polycarbonate Fiber Cavity Cross Section Measured Vibration Amplitude (um) Performance and Characteristics Interrogator unit and software interface 15 10 5 0 20 40 60 80 Applied Vibration Amplitude (um) 100 Response at 100 Hz vibration frequency Measured Vibration Acceleration (m/s2) Accelerometer Reflection Spectrum 20 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0 0 200 400 600 800 1000 1200 1400 Frequency (Hz) FBG accelerometer frequency response Wind turbine generator test rig Laboratory test bed (viewed from above) Stator terminal box Drive end bearing Sensor performance testing • Benchmarked against Bruel&Kjaer Pulse vibration platform utilising piezo-electric(PE) accelerometers • Both sensor types mounted on generator frame • Typical winding and bearing faults artificially introduced Sensor mounting Rolling bearing race frequencies Outer race N D f o f r b 1 b cos 2 Dc Inner race Nb Db fi f r cos 1 2 Dc fr=rotational frequency, Nb=number of rolling elements Db=ball diameter, Dc=cage diameter, β=contact angle Bearing Fault Emulation • Various severity of bearing outer race fault introduced in experiments Drive-end SKF 6313 Nb = 8 fo=3.07fr fi=4.93fr Machined bearing fault (localised outer race fault) Laboratory generator bearing design data Spectrum showing bearing fault effects B&K, bearing fault vibration spectrum, 1590 rpm 0 10 3mm fault healthy -1 163.3 244.8 326.6 489.8 408.1 734.7 571.4 979.5 653.1 10 Acceleration [m/s 2] 898 816.4 -2 10 -3 10 -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 1000 QPS, bearing fault vibration spectrum, 1590 rpm 0 10 -1 3mm fault healthy 326.3 163.3 Acceleration [m/s 2] 10 489.8 244.8 571.4 734.7 816.4 898 979.5 408.1 653.1 -2 10 -3 10 -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 Piezoelectric (top) and FBG (bottom) vibration frequency spectra 3mm outer race bearing fault at 1590 rpm 1000 Zoom-in View B&K, bearing fault vibration spectrum, 1590 rpm 0.12 healthy 3mm fault 2 571.4 489.8 0.08 PE sensor 0.06 408.1 0.04 0.02 420 440 460 480 500 520 Frequency [Hz] 540 560 580 600 QPS, bearing fault vibration spectrum, 1590 rpm 0.08 489.8 2 0 400 Acceleration [m/s ] Acceleration [m/s ] 0.1 FBG sensor 0.06 healthy 3mm fault 571.4 0.04 408.1 0.02 0 400 420 440 460 480 500 Frequency [Hz] 520 540 560 580 600 Typical Stator Winding Faults U1U1 U1 U2U2 U2 W1 W1W1 V2V2 V2 W2W2 V1V1 V1 W2 Winding configurations: Winding a)a) a) Healthy Torque frequencies 6k 1 s f s Balanced Unbalanced 2 6k 1 s f s k 1 s f s p k 2 1 s f s p U1U1 U1 U2U2 U2 V2V2 V2 W1 W1W1 V2V2 V2 W2W2 V1V1 V1 W2 b)b) b)fault Open-circuit U2U2 U2 W1 W1W1 W2W2 V1V1 V1 W2 c)c) c) fault Short-circuit • Achieved experimentally using stator terminal box k=0,1,2,3… s=slip p=pole pairs fs=supply frequency Spectrum showing short circuit fault effects B&K, stator winding short-circuit fault, 1590 rpm 0 10 58.59 [(3),k=6] 158.8 [(2),k=6] 376.1 [(3),k=18] 258.8 [(3),k=6] 476.1 [(2),k=18] 576.3 [(3),k=18] 693.6 [(3),k=30] -1 Acceleration [m/s 2] 10 893.8 [(3),k=30] 793.6 [(2),k=30] -2 10 -3 10 short-circuit healthy -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 1000 QPS, stator winding stator short-circuit fault, 1590 rpm 0 10 258.8 [(3),k=6] 158.8 58.59 [(2),k=6] [(3),k=6] 376.1 [(3),k=18] 476.1 [(2),k=18] 576.3 [(3),k=18] 693.6 [(3),k=30] -1 Acceleration [m/s 2] 10 893.8 [(3),k=30] 793.6 [(2),k=30] -2 10 -3 10 short-circuit healthy -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 Piezoelectric (top) and FBG (bottom) vibration frequency spectra stator short-circuit fault at 1590 rpm 1000 Spectrum showing open circuit fault effects B&K, stator winding open-circuit fault, 1590 rpm 1 10 0 58.59 [(3),k=6] Acceleration [m/s 2] 10 258.8 [(3),k=6] 158.8 [(2),k=6] 376.1 [(3),k=18] 476.1 [(2),k=18] 576.3 [(3),k=18] 693.6 [(3),k=30] 793.6 [(2),k=30] 893.8 [(3),k=30] -1 10 -2 10 -3 10 open-circuit healthy -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 1000 QPS, stator winding stator open-circuit fault, 1590 rpm 1 10 0 58.59 [(3),k=6] Acceleration [m/s 2] 10 158.8 [(2),k=6] 376.1 [(3),k=18] 258.8 [(3),k=6] 476.1 [(2),k=18] 576.3 [(3),k=18] 693.6 [(3),k=30] 793.6 [(2),k=30] 893.8 [(3),k=30] -1 10 -2 10 -3 10 open-circuit healthy -4 10 0 100 200 300 400 500 Frequency [Hz] 600 700 800 900 Piezoelectric (top) and FBG (bottom) vibration frequency spectra stator open-circuit fault at 1590 rpm 1000 Variable Speed Operation • Emulating realistic wind turbine variable speed operating conditions • Open-circuit winding fault introduced and PE and FBG platforms compared 1500 Speed [RPM] 1480 1460 1440 1420 1400 1380 0 2 4 6 8 10 Time [s] 12 14 Typical measured generator speed profile 16 18 20 Transient vibration signal spectrum 1000 HEALTHY 900 FAULTY 800 Frequency [Hz] 700 F A U L T 600 500 400 300 200 100 0 0 2 4 6 8 10 Time [sec] 12 14 16 18 8 9 1000 FAULTY HEALTHY 900 800 Frequency [Hz] 700 600 500 400 300 200 100 0 0 1 2 3 4 5 Time [sec] 6 7 Piezoelectric (top) and FBG (bottom) vibration short-time FFT spectra for variable speed operation with and without open-circuit fault F R E Q U E N C I E S Single fault frequency zoom-in FAULT FREQUENCY 3d spectrogram, PE sensor M A G N I T U D E FAULT FREQUENCY FREQUENCY TIME 3d spectrogram, FBG sensor M A G N I T U D E FREQUENCY TIME Summary • Wideband VibroFibre was shown to provide comparable performance to high cost PE sensor under electrical and mechanical fault conditions • Improvements ongoing in sensor characteristics and signal processing to further enhance performance and bring it closer to PE benchmark • Future work will show distributed vibration sensing and investigate sensor design with simultaneous temperature and vibration sensing ability • VibroFibre can become a competitive alternative to current high cost sensing solutions Thank You Questions?