『Mpression Smart Motor』Sensor Lecture on Predictive Maintenance Solution Services for Low-voltage Three-phase Cage Induction Motors

<p>Predictive maintenance is the concept of predicting the failure or abnormality of equipment or equipment and performing efficient maintenance.</p><p>By introducing predictive maintenance, it is possible to detect the abnormality in advance and take maintenance measures, thereby preventing sudden troubles.</p><p>In conventional preventive maintenance, which cannot detect sudden abnormalities.</p><p>Therefore, "condition based maintenance（CbM）" is attracting attention as a new method. By the evolution of sensors and analysis, it is possible to detect the condition of facilities and equipment and predict failures and abnormalities.</p><p>"Smart Motor Sensor（SMS）" is a solution for predicting the failure of a three-phase induction cage motor.</p><p>It collects data such as vibration and temperature and analyzes it in the cloud to determine the condition of the motor.</p><p>SMS makes it easy to attach the sensor to the device, easy to set up, and uses a learning model for automatic determination.</p><p>By eliminating the barriers of conventional CbM, it can accurately determine the abnormality or deterioration of the motor.</p><p>In addition, SMS has the ability to determine the abnormality for each function of the motor and to grasp the trend of the state transition and deterioration.</p><p>It provides the result to the user through a dashboard or smartphone application.</p><p>The API can also be used to link with other systems, enabling efficient management of multiple equipment decisions on a single screen.</p><p>SMS is attracting attention as a new predictive maintenance method that replaces conventional preventive maintenance.</p>