State Evaluation of Self-Powered Wireless Sensors Based on a Fuzzy Comprehensive Evaluation Model

Area of Science:

• Electrical Engineering
• Sensor Technology
• Reliability Engineering

Background:

• Self-powered wireless sensing technology offers a sustainable power solution for sensor nodes.
• Energy harvesters in these systems often face reduced lifespan and reliability due to mechanical stress or harsh operating conditions.
• A robust evaluation method is needed to assess the operational status and ensure the reliability of self-powered wireless sensors.

Purpose of the Study:

• To analyze influencing factors and failure mechanisms affecting self-powered wireless sensors.
• To propose an innovative evaluation index system for assessing sensor health.
• To develop a reliability evaluation strategy for ensuring dependable sensor operation.

Main Methods:

• A comprehensive evaluation index system with 4 primary and 13 secondary indexes was developed.
• Fused weights from the analytic hierarchy process (AHP) and CRITIC method were used.
• A fuzzy comprehensive evaluation (FE-SPS) model was implemented to assess system health based on output characteristics.

Main Results:

• The evaluation scheme successfully determined the health status of self-powered wireless sensors.
• Using vibration energy harvesting as a case study, sensors were evaluated after 200 hours of operation.
• The tested self-powered wireless sensor was classified as 'normal' with a score of 0.4847.

Conclusions:

• A novel reliability evaluation strategy for self-powered wireless sensors was successfully constructed.
• The proposed fuzzy comprehensive evaluation scheme effectively ensures the reliable operation of these sensors.
• This approach enhances the longevity and trustworthiness of wireless sensing technology.