Intelligent engine cold test NVH flexible detection system
By using a six-axis collaborative robot and a big data AI analysis platform in conjunction with a spring-contact acceleration vibration sensor during engine cold testing, precise positioning and adaptive measurement of multiple engine models were achieved. This solved the problems of the single nature of traditional cold testing equipment and reliance on manual labor, and improved the timeliness of fault identification and production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- JIANGLING MOTORS
- Filing Date
- 2025-06-26
- Publication Date
- 2026-06-23
AI Technical Summary
Traditional cold-test online testing equipment is limited in its ability to detect abnormal noises in the entire engine and relies heavily on human experience. This makes it difficult to differentiate engine problems, resulting in untimely fault identification and high labor costs.
By employing a six-axis collaborative robot equipped with a spring-contact accelerometer vibration sensor and combining big data and artificial intelligence technologies, precise positioning and adaptive measurement of engines of multiple models can be achieved. Feature extraction and fault mode identification are performed through time-series vibration data to build a highly generalized diagnostic model, enabling automatic identification and differentiated alarms for abnormal curves.
It improves the completeness and accuracy of engine vibration signal acquisition, reduces reliance on manual experience, enhances the timeliness and production efficiency of fault interception, supports multi-model compatibility testing, and optimizes production costs.
Smart Images

Figure CN224398984U_ABST