Solenoid Valve

Solenoid valves are electromechanical devices crucial for controlling fluid flow in diverse applications, from rocket propulsion to industrial automation. Current research emphasizes improving valve performance and reliability through advancements in control mechanisms (e.g., using servo motors for precise actuation) and predictive maintenance strategies. These strategies often leverage embedded machine learning, such as TinyML, to monitor valve health in real-time, predict failures (like spool sticking or spring failure), and estimate remaining useful life, thereby enhancing safety and efficiency in various systems. This work has significant implications for optimizing system performance and reducing downtime across numerous industries.