Views: 0 Author: Site Editor Publish Time: 2025-12-29 Origin: Site
Midea Intelligent Manufacturing Research Institute approached VALENIAN's marketing department and proposed to customize a predictive testing platform for transmission systems. The platform should meet the testing requirements for functionality while also having strict requirements for appearance. The marketing department, together with the design department, established a project team to conduct a detailed analysis of Midea Research Institute's needs, and after multiple communications and modifications to the design plan, ultimately created a testing platform that is suitable for testing and research purposes, as well as for display at the exhibition booth for relevant departments to visit and demonstrate.
PHM Prognostics Health Management, as a key technology for the new generation of equipment, plays an important role in improving equipment safety and mission success, enhancing support efficiency, and reducing support costs. However, prediction and health management are still developing technologies, and with the progress of engineering applications, their standardization issues have become prominent, becoming the key to restricting the standardization level of engineering applications and improving research and development efficiency while reducing research and development technology risks
PHM technology reserves are insufficient, engineering experience is lacking, and standardization work is difficult.
The PT500 Pro mechanical fault simulator is developed for data collection, acquisition, and analysis of transmission faults, including two-stage transmission spur gears, one-stage transmission planetary gearboxes, and bearing faults. Users can flexibly configure sensors for measuring mechanical parameters such as vibration, temperature, noise, speed, displacement, etc. This test bench can simulate the vibration state of rotating machinery during the acceleration and deceleration process and steady-state operating conditions, as well as various common rotating machinery faults. When used in conjunction with data collection instruments and analysis software, it can analyze fault characteristics and form a multi-purpose and comprehensive experimental system platform, providing a good experimental analysis environment and algorithm basis for gear transmission and bearing faults.
2： Possible experimental projects:
1. Rolling bearing fault simulation: The faults that can be simulated include bearing inner ring damage, outer ring damage, ball bearing damage, cage damage, mixed damage, etc; (By replacing kits with different types of faults, various damage fault simulations can be completed) 2. Gear fault simulation: By replacing defective gears, various gear faults can be simulated; (Fault type, missing teeth, broken teeth, cracks, wear) 3. Planetary gear fault simulation: By replacing defective planetary gears, various gear faults can be simulated; (Fault type, missing tooth, broken tooth, crack, wear) 4. Shaft system fault simulation: shaft installation misalignment defects can be simulated by adjusting the base through the misalignment adjustment system; 5. Speed experiment of rotating mechanical equipment (speed increase, speed decrease, speed stabilization, etc., adjusting motor speed through control program, simulation experiment):
6. Unbalance simulation experiment of rotating equipment (achieved by installing on the circumference of the balance disk and removing the counterweight to simulate imbalance)
7. Simulation experiment of rotating equipment shaft rubbing (simulating abnormal situations where foreign objects touch the shaft)
8. Resonance experiment of rotating equipment (loosen the installation screws of the testing equipment and conduct resonance experiment);
9. Torque loading experiment (using magnetic powder brake to achieve constant torque, variable torque, pulse torque, sinusoidal torque at the shaft end)
With the development of technology, system equipment is moving towards complexity, comprehensiveness, informatization, and intelligence. Improving the reliability, maintenance support, and ensuring operational efficiency of complex systems have become urgent issues to be addressed. Fault prediction and health management (PHM) technology achieves rapid and accurate fault diagnosis and location by monitoring the health status of the system in real time, predicting the development trend of faults, not only avoiding major malignant accidents, but also providing maintenance decision support for logistics support personnel. PHM technology has become a very promising dual-use technology in the 21st century for improving the reliability, maintainability, testability, supportability, and safety of complex systems, as well as reducing system life cycle costs. This report focuses on introducing the two mainstream branches of fault prediction methods, model-based prediction and data-driven prediction, and comprehensively elaborates on the key technologies involved
Midea Intelligent Research Institute was established in 2019 and is one of the four research institutes under Midea Group. It has three research institutes: advanced process technology, intelligent equipment technology, and digital manufacturing technology, covering welding technology, electronic technology, injection molding technology, and equipment technology. In 13 technical fields including digital twin, data analysis, and intelligent design, we are committed to defining future intelligent manufacturing scenarios, deeply integrating new generation digital manufacturing technology, advanced processes, and intelligent equipment technology, building intelligent manufacturing production methods and overall solutions, and helping Midea Group become a practitioner, leader, and enabler of intelligent manufacturing in China.
