Survey on Life Estimation of Composite Humidity Sensors Using Numerous Artificial Intelligence Techniques
To find and evaluate the ratio of humidity in air a humidity sensor is employed.Environmental pollutants are used to fabricate replacement pollutants are like lampblack and ZnOe, and it performs as a humidity sensor. For nature confirmation, characterization is performed. To verify the surface roughness Complex impedance spectroscopy (CIS), infrared spectroscopy (FTIR), X-ray diffraction (XRD) and scanning microscopy (SEM) are used. The lifespan of the fabricated humidity sensor is found by life testing. An intelligent prototype is meant using AI techniques, including the synthetic neural network (ANN), fuzzy inference system (FIS) and adaptive neuro-fuzzy inference system (ANFIS).The range of excellent composite humidity sensors is 30–95%.