OMRON has launched the K7DD-PQ series for advanced motor condition monitoring. The unit is designed to automate the detection of abnormalities in manufacturing plants. By analysing over 400 types of characteristic values derived from current and voltage measurements, the device can detect specific failure modes such as worn blades, chip entanglement or deteriorating bearings in machine tool spindle motors. This automation reduces inspection effort and prevents unexpected equipment failures by eliminating the need to rely on the experience and intuition of skilled operators.
For servo and induction motors
K7DD-PQ ensures accurate and comprehensive data processing. It is equipped with high-speed 2.5μs sampling technology that detects even the most fleeting anomalies, and 6-channel simultaneous/continuous operation capability that processes data without omission or deviation. It can effectively monitor servo and induction motors, detecting anomalies caused by gaps between the rotor and stator or changes in torque. It provides self-contained condition monitoring within the manufacturing site, eliminating the need for complex installations or cloud-based systems. Easy retrofitting to the control panel makes local monitoring and immediate detection of anomalies straightforward.
Operating at a speed of 50ms, the K7DD-PQ can keep pace with variable speed equipment, significantly reducing inspection workload. It simplifies data analysis by automatically selecting effective feature values and setting thresholds, enabling the identification of different failure modes and their root causes.
