Effects of measurement noise on modal parameter identification

Smart Materials and Structures

Volumn 21, Issue 6, 2012, Pages

  Dorvash, S ^a   Pakzad, S N ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC CHARACTERISTICS; EFFECT OF MEASUREMENTS; GOLDEN GATE; HIGH QUALITY; MEASURED DATA; MEASUREMENT DATA; MEASUREMENT NOISE; MODAL IDENTIFICATION; MODAL PARAMETER IDENTIFICATION; MODAL PARAMETERS; MODAL PROPERTIES; NOISE CONTAMINATION; SENSOR MEASUREMENTS; SENSOR NOISE LEVEL; SOURCES OF UNCERTAINTY; SYNCHRONIZED DATA; VIBRATION MONITORING; WIRELESS SENSOR;

ALGORITHMS; MODAL ANALYSIS; SENSORS; SPURIOUS SIGNAL NOISE;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 84861898486     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/21/6/065008     Document Type: Article

References (37)

1. ® accelerometer with duty cycle output www.analog.com/ UploadedFiles/Data-Sheets/ADXL202E.pdf.
2. Beck J L, Vanik M W and Katafygiotis L S 1994 Determination of model parameters from ambient vibration data for structural health monitoring Proc. 1st World Conf. on Structural Control (Pasadena, CA,) pp 312
3. Caicedo J M, Dyke S J and Johnson E A 2004 Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: simulated data J. Eng. Mech. 130 4960 (Pubitemid 38135602)
4. Chung H C, Enotomo T, Loh K and Shinozuka M 2004 Real-time visualization of bridge structural response through wireless MEMS sensors Proc. SPIE, Testing, Reliability, and Application of Micro- and Nano-Material Systems II (San Diego, CA,) pp 23946
5. Farrar C R and James G H 1997 System identification from ambient vibration measurements on a bridge J. Sound Vib. 205 118 (Pubitemid 127402859)
6. Grimmelsman K A and Aktan A E 2005 Impacts and mitigation of uncertainty for improving the reliability of field measurements Proc. 2nd Int. Conf. on Structural Health Monitoring of Intelligent Infrastructure (SHMII2) (Shenzhen,)
7. James G H, Carne T G and Lauffer J P 1993 The natural excitation technique for modal parameter extraction from operating wind turbines Rep. No. SAND92-1666, UC-261 (Sandia, NM: Sandia National Laboratories)
8. James G H, Carne T G, Lauffer J P and Nord A R 1992 Modal testing using natural excitation Proc. 10th Int. Modal Analysis Conf. (San Diego,)
9. Jang S, Jo H, Cho S, Mechitov K, Rice J A, Sim S H, Jung H J, Yun C B, Spencer B F and Agha G 2010 Structural health monitoring of a cable stayed bridge using smart sensor technology: deployment and evaluation Smart Struct. Syst. 6 43959
10. Juang J N and Pappa R S 1985 An eigensystem realization algorithm for modal parameter identification and model reduction J. Guid. Control Dyn. 8 6207
11. Juang J-N and Pappa R S 1986 Effect of noise on modal parameters identified by the eigensystem realization algorithm J. Guid. Control Dyn. 9 294303
12. Kijewski-Correa T and Pirnia J D 2007 Dynamic behavior of tall buildings under wind: insights from full-scale monitoring Struct. Design Tall Spe. Buildings 16 47186 (Pubitemid 350271861)
13. Kim J, Swartz R A, Lynch J P, Lee J J and Lee C G 2010 Rapid-to-deploy reconfigurable wireless structural monitoring systems using extended-range wireless sensors Smart Struct. Syst. 505524 505
14. Lynch J P 2006 A summary review of wireless sensors and sensor networks for structural health monitoring Shock Vib. Dig. 38 91128
15. Lynch J P, Law K H, Kiremidjian A S, Carryer E, Farrar C R, Sohn H, Allen D W, Nadler B and Wait J R 2004 Design and performance validation of a wireless sensing unit for structural monitoring application Struct. Eng. Mech. 17 393408
16. Lynch J P, Partridge A, Law K H, Kenny T W and Kiremidjian A S 2003 Design of piezoresistive MEMS-based accelerometer for integration with wireless sensing unit for structural monitoring Aerosp.e Eng. doi:10.1061/(ASCE)0893-1321
17. Lynch J P, Wang Y, Law K H, Yi J H, Lee C G and Yun C B 2005 Validation of a large-scale wireless structural monitoring system on the Geumdang Bridge Proc. Int. Conf. on Safety and Structural Reliability (ICOSSAR) (Rome, June)
18. Moon F L 2006 Impacts of epistemic (bias) uncertainty on structural identification of constructed (civil) systems Shock Vib. Dig. 38 399420 (Pubitemid 44267566)
19. Nayeri R D, Tasbihgoo F, Wahbeh M, Caffrey J P, Masri S F, Conte J P and Elgamal A 2009 Study of time-domain techniques for modal parameter identification of a long suspension bridge with dense sensor arrays J. Eng. Mech. 135 669
20. Overschee P V and Moor B D 1994 N4SID: subspace algorithms for the identification of combined deterministic-stochastic systems Automatica 30 7593 (Pubitemid 124007975)
21. Pakzad S N 2010 Development and deployment of large scale wireless sensor network on a long-span bridge Smart Struct. Syst. 6 52543
22. Pakzad S N and Fenves G L 2009 Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network J. Struct. Eng. 135 86372
23. Pakzad S N, Fenves G L, Kim S and Culler D E 2008 Design and implementation of scalable wireless sensor network for structural monitoring ASCE J. Infrastruct. Eng. 14 89101 (Pubitemid 351279606)
24. Pandit S M 1991 Modal and Spectrum Analysis: Data Dependent Systems in State Space (New York: Wiley)
25. Pappa R S, Elliott K B and Schenk A 1993 Consistent-mode indicator for the eigensystem realization algorithm J. Guid. Control Dyn. doi:10.2514/3.21092
26. Pappa R S, James G H and Zimmerman D C 1998 Autonomous modal identification of the Space Shuttle tail rudder J. Guid. Control Dyn. 35 1639 (Pubitemid 128605284)
27. Peeters B and De Roeck G 2001a Stochastic system identification for operational modal analysis: A review J. Dyn. Syst., Meas., Control 123 65967 (Pubitemid 33715996)
28. Peeters B and De Roeck G 2001b One-year monitoring of the Z24-Bridge: environmental effects versus damage events Earthq. Eng. Struct. Dyn. 30 14971 (Pubitemid 32206014)
29. Reynders E, Pintelon R and Deroeck G 2007 Uncertainty bounds on modal parameters obtained from stochastic subspace identification Mech. Syst. Signal Process. 22 94869
30. Reynolds P, Pavic A, Ibrahim Z and Street M 2004 Changes of modal properties of a stadium structure occupied by a crowd Proc. IMAC XXII, Dearborn, DT, USA (January)
31. Roeck G D, Claesen W and Broeck P V D 1995 DDS-methodology applied to parameter identification in civil engineering structures Proc. Vibration and Noise pp 34153
32. Silicon Design 2007 Model 1221, low noise analog accelerometer www.silicondesign.com/pd.
33. Sohn H 2007 Effects of environmental and operational variability on structural health monitoring J. Phil. Trans. R. Soc. 365 53960
34. Straser E G and Kiremidjian A S 1998 A Modular, Wireless Damage Monitoring System for Structures Technical Report 128 (Stanford, CA: John A Blume Earthquake Engineering Center, Stanford University)
35. Tanner N A, Wait J R, Farrar C R and Sohn H 2003 Structural health monitoring using modular wireless sensors J. Intell. Mater. Syst. Struct. 14 4356
36. Vold H and Rocklin G F 1982 The numerical implementation of a multi-input modal estimation method for mini-computers Int. Modal Analysis Conf. Proc.
37. Whelan M J and Janoyan K D 2009 Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring J. Intell. Mater. Syst. Struct. 20 84963