Improving the response of a load cell by using optimal filtering
Abstract:
Load cells are transducers used to measure force or weight. Despite the fact that there is a wide variety of load cells, most of these transducers that are used in the weighing industry are based on strain gauges. In this paper, an s-beam load cell based on strain gauges was suitably assembled to the mechanical structure of several seats of a bus under performance tests and used to measure the resistance of their mechanical structure to tension forces applied horizontally to the seats being tested. The load cell was buried in a broadband noise background where the unwanted information and the relevant signal sometimes share a very similar frequency spectrum and its performance was improved by using a recursive least-squares (RLS) lattice algorithm. The experimental results are satisfactory and a significant improvement in the signal-to-noise ratio at the system output of 27 dB was achieved, which is a good performance factor for judging the quality of the system. © 2006 by MDPI.
Año de publicación:
2006
Keywords:
- Strain gauge
- Adaptive noise canceller
- Recursive least-squares lattice adaptive filter
- Load cell
Fuente:
Tipo de documento:
Article
Estado:
Acceso abierto
Áreas de conocimiento:
- Optimización matemática
- Optimización matemática
Áreas temáticas:
- Física aplicada
- Métodos informáticos especiales
- Instrumentos de precisión y otros dispositivos