In this paper, the mechanical sensitivity of a vibration sensor is investigated by developing a mathematical model with the function of a relative movement modulus and measurement error. This model enables mechanical sensitivity to be improved by enhancing the performance of the vibration sensor. The purpose of the present work is to reduce measurement error by choosing the right damping rate that enables vibration sensor sensitivity to be optimized. The presented model is validated by computer simulation and experimental tests. The obtained results have shown that correct choice of damping rate and frequency range keeps the mechanical sensitivity constant.
BoulangerAPachaudC (1998a) Machine Monitoring by Vibration Analysis of Screening Diagnosis, 2nd edn. Paris, France: Afnor.
3.
BoulengerAPachaudC (1998b) Vibration Diagnostic of Preventive Maintenance, Paris, France: Dunod.
4.
ChenKSOuKS (2010) Simulations and experimental investigations on residual vibration suppression of electromagnetically actuated structures using command shaping methods. Journal of Vibration and Control16(11): 1713–1734.
5.
DiazIMReynoldsP (2010) On-off nonlinear active control of floor vibrations. Mechanical Systems and Signal Processing24(6): 1711–1726.
6.
El HafidiAMartinBLoredoAJegoE (2010) Vibration reduction on city buses; determination of optimal position of engine mounts. Mechanical Systems and Signal Processing24(7): 2198–2209.
7.
El-Ouafi BahlousSAbdelghaniMSmaouHEl-BorgiS (2007) A modal filtering and statistical approach for damage detection and diagnosis in structures using ambient vibrations measurements. Journal of Vibration and Control13(3): 281–308.
8.
GhemariZSaadS (2012a) Development of measurement precision of sensor vibration. Journal of Vibration and Control18: 1–8.
9.
GhemariZSaadS (2012b) Development of model and enhancement of measurement precision of sensor vibration. IEEE Sensors Journal12(12): 3454–3459.
10.
Hale JM, White JR, Stephenson R and Liu F (2005) Development of piezoelectric paint thick-film vibration sensors. In Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 219(1): 1–9.
11.
HassanpourPACleghornWLMillsJKEsmailzadehE (2007) Exact solution of the oscillatory behavior under axial force of a beam with a concentrated mass within its interval. Journal of Vibration and Control13(12): 1723–1739.
12.
HwangGSMaCCHuangDW (2011) Dynamic strain measurements of a cantilever using the improved bonding fiber Bragg grating. Journal of Vibration and Control17(14): 2199–2212.
13.
LiSWuZ (2009) Sensitivity enhancement of long-gage FBG sensors for macro-strain measurements. Structural Health Monitoring8(6): 415–423.
14.
MirzaMAVan NiekerkJL (1999) Optimal actuator placement for active vibration control with known disturbances. Journal of Vibration and Control5(5): 709–724.
15.
SethiVFranchekMASongG (2011) Active multimodal vibration suppression of a flexible structure with piezoceramic sensor and actuator by using loop shaping. Journal of Vibration and Control17(13): 1994–2006.
16.
Sunar M and Al-Bedoor BO (2008) Vibration measurement of a cantilever beam using root embedded piezoceramic sensor. In Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 222(2): 147–161.
17.
Viresh WickramasingheYCZimcikD (2009) Development of adaptive seat mounts for helicopter aircrew body vibration reduction. Journal of Vibration and Control15(12): 1809–1825.
18.
WhelanMJGangoneMVJanoyanKDJhaR (2011) Operational modal analysis of a multi-span skew bridge using real-time wireless sensor networks. Journal of Vibration and Control17(13): 1952–1963.
19.
XinliangZYonghongTMiyongS (2009) Modeling of hysteresis in piezoelectric actuators using neural networks. Mechanical Systems and Signal Processing23(8): 2699–2711.
