Real time monitor the machine condition, predictive understand sudden faults and wear conditions of machines, predict service life to prepare various possible situations the machines may encounter. Reasonably arrange production and planning, reduce unplanned machine downtime, and maintenance costs;

Monitor the real-time machine condition, monthly conduct comprehensive health assessments for online monitoring machine, confirm fault parts, analyze fault cause, and assess the degree of machine damage, in order to predict the machine service life in advance;

If the customer provides feedback on abnormal faulty machine, diagnostic experts and technical service personnel can be assigned for on-site testing and machine fault analysis diagnosis, timely provide diagnostic reports, and carry out bearing balancing and handling of intermediate problems on-site;