Failure prediction of humidity sensor DHT11 using various environmental testing techniques

Electronics System has become the integral part of our daily life. From toy to radar,system is dependent on electronics. The health conditions of humidity sensor need to bemonitored regularly. Temperature can be taken as a quality parameter for electronicssystem which works under variable conditions tends to failure of the systems. Using various environmental testing techniques, the performance of DHT11 has been analysed. The failure of humidity sensor has been detected using accelerated life testing and an expert system is modelled using various artificial intelligence techniques i.e. Artificial Neural Network, Fuzzy Inference System and Adaptive Neuro-Fuzzy Inference system. A comparison has been made in between the response of actual and prediction techniques, which enable us to choose the best technique on the basis of minimum error and maximum accuracy. It has been observed that ANFIS is proved as the best technique with minimum error for developing intelligent model. The mean lifetime of DHT11 using environmental testing has been calculated as 26.65 hours. The accuracy of ANFIS is 97.52% in comparison with other artificial intelligence techniques.