Sludge dewatering machines are prone to large load fluctuations, making them susceptible to sudden blockages and abnormal vibrations. Traditionally, maintenance relied on routine inspections, making it difficult to detect signs of problems. As a result, many issues were overlooked, leading to malfunctions and unexpected shutdowns.

Real-time monitoring of motor status enables early detection of abnormalities and predictive maintenance. Automatic shutdown in response to overload or overheating prevents equipment damage and significantly reduces downtime. Furthermore, the use of recorded data facilitates root cause analysis, leading to increased efficiency in maintenance work and improved operational performance.