DOAJ
Open Access
2024
Self-Diagnostic Method for Resistive Displacement Sensors
Federico Mazzoli
Davide Alghisi
Vittorio Ferrari
Abstrak
Displacement sensors play a key role in the control of dynamic processes. Such sensors can be endowed with self-diagnostic capabilities to identify both the degradation of their conditions and the possible process anomalies that caused them, thus allowing researchers to monitor the process efficiency and therefore its sustainability. Within this scope, a self-diagnostic method is proposed to infer the conditions of a resistive displacement sensor by estimating its model parameters online during operation. Experimental results confirm the effectiveness of the presented method.
Topik & Kata Kunci
Penulis (3)
F
Federico Mazzoli
D
Davide Alghisi
V
Vittorio Ferrari
Akses Cepat
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Cek di sumber asli →Informasi Jurnal
- Tahun Terbit
- 2024
- Sumber Database
- DOAJ
- DOI
- 10.3390/proceedings2024097164
- Akses
- Open Access ✓