Design of Equipment Condition Detection and Fault Detection System Based on Photosensitive Sensor

In the field of industrial production, a complete production line is often composed of a number of electrical equipment with different functions. Once the equipment fails, it will reduce the product quality, cause economic losses and even lead to production accidents. In this paper, a device fault feature extraction algorithm based on photosensitive sensor is proposed. By blocking the light intensity, the photosensitive sensor can receive the light change, thus changing the resistance value of the circuit, and converting it into digital signals such as current or voltage to prompt the staff to reinforce it. Equipment state information processing classifies and processes the collected information, extracts features that can represent the equipment state, and proves whether it has been damaged or not. Simulation results show that, compared with SVM method, this method has obvious advantages in the later stage of operation, and the error is reduced by 22.86%. The feature extraction algorithm of equipment fault based on photosensitive sensor is better than that of SVM, and it can accurately detect the state and fault of equipment.