Comprehensive Fault Analysis And Preventive Maintenance Strategies For Hemodilysis Machines Field Study On The Nipro Surdial

Abstract

Hemodialysis machines are essential for patients with end-stage renal failure, yet their complex design makes them susceptible to faults that can interrupt therapy and jeopardize patient safety. Common malfunctions include blood-leak detector errors, dialysate conductivity and temperature-control faults, which may lead to hemolysis, electrolyte imbalance, or abrupt treatment cessation. Although modern systems incorporate multiple sensors and alarm mechanisms, these typically activate only after faults occur. Ensuring reliability therefore requires strict preventive maintenance and intelligent diagnostic tools. Recent advances such as the HD service app enhance troubleshooting efficiency, while predictive maintenance using machine-learning models (e.g., LSTM networks) enables early fault detection. Future developments including IoT-based monitoring, self-diagnostics, and modular system design are expected to further improve safety and operational reliability.