1. Motor Current Predictive-diagnosis Solution for Stable Equipment Operation and Maintenance Costs Reduction
In recent years, Japan’s workforce has been declining, and the digitalization and streamlining of tasks utilizing various sensors and the Internet of Things (IoT) is required in the manufacturing industry. In the facility maintenance field as well, labor-saving initiatives are being advanced through digital transformation (DX) for inspection work which was previously carried out by having a maintenance worker go around and check each piece of equipment.
Amidst these changes, Hitachi has developed a solution for diagnosing equipment anomalies that utilizes the current data of the motors used to drive equipment. This solution measures motor current and uses a proprietary Hitachi algorithm that utilizes artificial intelligence (AI) to diagnose anomalies in the motor itself and in the equipment driven by the motor. Moreover, the solution contributes to stable equipment operation and reduced maintenance costs with the following three features.
- Diagnosis based only on current sensor data
Since the only data required for diagnosis is the current data supplied to the motor, the system can be implemented comparatively easily.
- Able to diagnose motors with variable speed and load
Equipped with an algorithm that automatically extracts current data that is suitable for diagnosis, it enables diagnosis during normal operation even for motors with variable speed and load.
- Solves the issue of task individualization in equipment diagnosis
By quantifying the anomalous conditions of equipment (degree of abnormality), it can eliminate variations in human judgment, thereby resolving the problem of a lack of maintenance personnel with advanced skills.