Patented
The application of machine fault diagnosis methods is difficult in many cases where existing threshold values are provided, because the threshold values differ for each machine. We have addressed this issue by providing a new method of diagnosis with a spindle status monitoring system based on the “characteristic space common among machines”, which is determined using characteristic quantities. Data on the acceleration signals generated when faults occur on spindles are processed in data collecting equipment to calculate such characteristic quantities. The characteristic space based on these characteristic quantities allows us to understand the status of spindles and can help with preventive maintenance by giving warning signs about damage.
Examples of browser fonction
Blue Graph : Initial measurement data
Red Graph : Current measurement data