Over the years, the number of agricultural workers as a percentage of the total population has been declining. As a result, the agricultural market is faced with the challenge of meeting the same food demand as before with fewer people. As a solution ...
Over the years, the number of agricultural workers as a percentage of the total population has been declining. As a result, the agricultural market is faced with the challenge of meeting the same food demand as before with fewer people. As a solution to these problems, automation of agricultural machinery is emerging. In this study, we develop Electric Proportional Pressure Reducing(EPPR) valve, which is a key part of agricultural machinery automation. The EPPR valve is a component that can vary the discharge pressure by using the suction force generated according to the signal input to the coil. It can be used for various purposes in agricultural machinery, and it used here is to control the Main Control Valve(MCV) spool of the Load Sensing system. The Load Sensing system is a circuit that reduces wasted energy by varying the pump according to the work load. The reliability of the EPPR valve is secured through the sensorless fault diagnosis system. After obtaining the Magnetic Flux Linkage Diagram using the current and voltage input to the coil, various failure analyzes can be performed by comparing it with a normal product. We check hysteresis and repeatability to evaluate EPPR valve performance. A total of 6 failure types are selected: Coil Failure, Spring Failure, Part Omission, Electromagnetic Top Pollution, Sliding Part Adhesion and Excessive Sliding Friction. In addition, machine learning techniques are used to ensure higher reliability as the test is repeated.