Experimental Subject: Computer CPU Cooling Fan
Brushless DC Cooling Fan (AFB0912VH)
Signal Collection: Vibration Signal, Temperature
Function:
-
Research on the fault diagnosis of computer CPU cooling fan bearings;
-
Research on the gradual evolution of faults in computer CPU cooling fan bearings.
Test Bench:
Key Component Parameters:
Collection Component List:
|
Serial Number |
Component Name |
Model |
|
1 |
Accelerometer |
YD84D-V |
|
2 |
Data Acquisition Card |
NI9233 |
Experiments That Can Be Completed:
Table 1 Working Condition Description
|
Speed |
Signal Collection |
|
2400r/min |
Dual-channel Vibration Signal |
There are seven types of faults, including healthy, two levels of inner ring bearing faults, two levels of outer ring bearing faults, and two levels of cage defects. Each fault type description can be found in Table 2.
Table 2 Healthy Type Description
|
Fault Type |
Image Description |
Remarks |
|
Healthy |
—— |
Healthy Data |
|
Inner Ring Fault1 |
|
Inner Ring Drilled Small Hole |
|
Inner Ring Fault2 |
|
Inner Ring Drilled Large Hole |
|
Cage Defect1 |
|
Cage Drilled Small Hole |
|
Cage Defect2 |
|
Cage Drilled Large Hole |
|
Outer Ring Fault1 |
|
Outer Ring Drilled Small Hole |
|
Outer Ring Fault2 |
|
Outer Ring Drilled Large Hole |
Fan Fault Diagnosis and Health Pre-diagnosis System: This test bench can be configured with a bearing fault diagnosis and health pre-diagnosis system (developed in Python, B/S system), with functional modules including: signal processing module, health feature extraction and selection module, health degradation prediction module, health prediction module, maintenance knowledge management and health visualization module, fault diagnosis module. Different functional modules can be flexibly combined to complete different tasks. (The software system requires configuration, pricing is based on selected modules and models).
We welcome collaboration on projects in intelligent maintenance, manufacturing process quality control, artificial intelligence, machine vision, defect detection, and intelligent IoT systems, as well as academic research cooperation (Note: The system is currently not open-source), and we welcome inquiries.
Equipment Testing Bed Services: We provide custom services for the above testing bed and various fault data collection testing services for this testing bed.
Contact Email: [email protected], Phone: 19946089034 (same WeChat number, please indicate your organization and name when adding WeChat), 13917180842