Experimental Investigation on the Transfer Behavior and Environmental Influences of Low-Noise Integrated Electronic Piezoelectric Acceleration Sensors
Open Access
Abstract
Acceleration sensors are vital for assessing engineering structures by measuring properties like natural frequencies. In practice, engineering structures often have low natural frequencies and face harsh environmental conditions. Understanding sensor behavior on such structures is crucial for reliable measurements. The research focus is on understanding the behavior of acceleration sensors in harsh environmental conditions within the low-frequency acceleration range. The main question is how to distinguish sensor behavior from structural influences to minimize errors in assessing engineering structure conditions. To investigate this, the sensors are tested using a long-stroke calibration unit under varying temperature and humidity conditions. Additionally, a mini-monitoring system configured with four IEPE sensors is applied to a small-scale support structure within a climate chamber. For the evaluation, a signal-energy approach is employed to distinguish sensor behavior from structural behavior. The findings show that IEPE sensors display temperature-dependent nonlinear transmission behavior within the low-frequency acceleration range, with humidity having negligible impact. To ensure accurate engineering structure assessment, it is crucial to separate sensor behavior from structural influences using signal energy in the time domain. This study underscores the need to compensate for systematic effects, preventing the underestimation of vibration energy at low temperatures and overestimation at higher temperatures when using IEPE sensors for engineering structure monitoring.Keywords
Funding Information
- German Research Foundation (DFG) (434502799, 03EE2025A)
- German Federal Ministry for Economic Affairs and Climate Action (BMWK) (434502799, 03EE2025A)
This publication has 36 references indexed in Scilit:
- Eulerian-based virtual visual sensors to measure dynamic displacements of structuresStructural Control and Health Monitoring, 2016
- Handbook of Modern Sensors2016
- Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health MonitoringIEEE Transactions on Signal Processing, 2014
- Assessment of masonry arch railway bridges using non-destructive in-situ testing methodsEngineering Structures, 2009
- An introduction to structural health monitoringPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2006
- One-year monitoring of the Z24-Bridge: environmental effects versus damage eventsEarthquake Engineering & Structural Dynamics, 2001
- Fabrication and characterization of a piezoelectric accelerometerJournal of Micromechanics and Microengineering, 1999
- Design of novel thin-film piezoelectric accelerometerSensors and Actuators A: Physical, 1996
- Beschleunigungsaufnehmer1980
- Die Abhängigkeit der piezoelektrischen Konstante bei Quarz von der TemperaturThe European Physical Journal A, 1929