Digital weighing sensor error self-diagnosis method
By employing dual baseline technology of acoustic vibration and electrical signals, combined with a latent fault feature library, we have achieved the early detection and timely diagnosis of latent faults in digital weighing sensors. This solves the problem of latent faults that are difficult to identify using traditional methods, ensuring the stability and accuracy of the weighing system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ZHENGZHOU XINYIDE ELECTROMECHANICAL EQUIP CO LTD
- Filing Date
- 2026-02-28
- Publication Date
- 2026-05-26
AI Technical Summary
Existing self-diagnostic technologies for digital load cells struggle to identify hidden faults within the sensor, such as microcracks, initial micro-delamination between the strain gauge and the substrate, or early aging of the internal encapsulating colloid, leading to decreased measurement accuracy and failure to detect these faults in a timely manner.
By establishing dual baselines for acoustic vibration and electrical signals, synchronously acquiring dynamic response sequences, extracting characteristic parameters of acoustic vibration and electrical signals, and combining them with a dual feature library of latent faults for joint comparison, fault diagnosis results are generated and error compensation is performed.
It enables the early detection and timely diagnosis of latent faults, improves the sensitivity and timeliness of fault diagnosis, ensures that the sensor suppresses errors immediately in the early stage of a fault, and guarantees the continuous and stable operation of the weighing system.
Smart Images
Figure CN122084082A_ABST