Enhancing Electric Forklift Reliability: An IoT-Driven Prognostics and Health Management System

The development of electric vehicles brings the rapid development of electrification of the forklift industry. As electric forklifts gain popularity in the logistics industry, their complexity and high failure rates pose significant challenges to maintenance and safety. To lower forklift downtime, our research presents an IoT-Driven Prognostics and Health Management (PHM) System based on the LSTM-LOF model. Simulation experiments show that our model can identify 100% of failure cases when the deviation exceeds 7%, and can identify 80% of potential failures when the deviation is less than 1%.