Electric Shaver Vibration Testing with VibroMicro VM-S-100
1. Background and Testing Requirements
With the improvement of living standards, the vibration and noise performance of electric shavers have become important indicators for measuring product quality. Traditional testing methods face several challenges:
Subjective Judgment Issues: Manual auditory inspection lacks objectivity and consistency
Contact Measurement Limitations: Accelerometers affect the dynamic characteristics of lightweight structures
Environmental Interference: Production line vibrations interfere with accurate measurements
Quantification Difficulty: Inability to provide precise data for performance grading
2. Testing Solution
2.1 System Configuration
Core Sensor: Dynatronic VibroMicro VM-S-100 Laser Doppler Vibrometer
Fixture System: Standardized test platform with anti-vibration design
Analysis Software: VibroSoft with customized algorithm modules
Production Integration: Compatible with automated conveyor systems
2.2 Key Features
Non-contact Measurement: No impact on device under test
Multi-point Scanning: Capable of measuring different positions on the shaver
Real-time Analysis: Immediate pass/fail determination
Environmental Immunity: Effective filtering of background vibrations
3. Testing Methodology
3.1 Test Setup
Device Positioning: Secure shaver in test fixture
Measurement Points: Define 3-5 critical measurement locations
Laser Alignment: Automatically position laser spot on target areas
Signal Acquisition: Collect vibration data during operation
3.2 Test Procedure
Power-on Sequence:
Activate shaver and allow to reach stable operation
Record vibration characteristics at each measurement point
Data Processing:
Apply band-pass filtering (typical range: 50-2000 Hz)
Perform FFT analysis for frequency domain characteristics
Calculate RMS amplitude and dominant frequencies
Quality Judgment:
Compare against preset amplitude and frequency thresholds
Detect abnormal vibration patterns indicating potential faults
Generate automatic pass/fail results
4. Technical Implementation Details
4.1 Vibration Signal Processing
Signal Processing Flow:
Raw Vibration Signal
→ Band-pass Filtering (50-2000 Hz)
→ FFT Analysis
→ Feature Extraction
→ Threshold Comparison
→ Quality Decision
4.2 Key Parameters
Amplitude Threshold: 0.5-5.0 μm (adjustable based on product specification)
Frequency Range: Motor fundamental frequency ± 20%
Stability Criteria: < 10% variation across measurement points
Abnormal Noise Detection: Identification of non-harmonic components
4.3 Environmental Interference Rejection
Platform Vibration Filtering: Digital signal processing algorithms
Background Noise Elimination: Adaptive filtering techniques
Cross-talk Prevention: Spatial separation and amplitude thresholding
5. Test Results and Analysis
5.1 Performance Metrics
Measurement Stability: > 95% consistency across different positions
State Detection Accuracy: > 98% for ON/OFF state determination
Fault Detection Rate: > 90% for motor abnormalities
Testing Cycle Time: < 8 seconds per unit
5.2 Typical Results
Qualified Product:
Stable amplitude within specified range
Clean frequency spectrum with dominant motor frequency
Consistent performance across all measurement points
Defective Product Indicators:
Amplitude outside tolerance range
Abnormal frequency components
Unstable vibration patterns
Presence of impact or rubbing signatures
6. System Advantages
6.1 Measurement Performance
High Precision: Sub-micron displacement resolution
Wide Frequency Range: DC to 20 kHz capability
Multi-parameter Output: Simultaneous displacement, velocity, acceleration
Real-time Processing: Immediate results for production line use
6.2 Production Suitability
Robust Operation: Suitable for industrial environments
Easy Integration: Standard communication interfaces (Modbus, Ethernet)
Low Maintenance: No consumables or regular calibration
User-friendly Interface: Minimal operator training required
6.3 Quality Assurance
Objective Standards: Quantitative criteria replace subjective judgment
Comprehensive Data: Complete vibration signature for each unit
Trend Analysis: Statistical process control capabilities
Traceability: Data logging for quality tracking
7. Application Value
7.1 Quality Improvement
Early Defect Detection: Identify issues before final assembly
Consistent Standards: Uniform quality across production batches
Reduced Returns: Lower field failure rates through better screening
7.2 Process Optimization
Supplier Management: Objective evaluation of motor quality
Design Feedback: Data-driven design improvements
Production Control: Real-time monitoring of manufacturing consistency
7.3 Cost Reduction
Labor Savings: Automated testing reduces manual inspection
Efficiency Gain: Higher testing throughput
Waste Reduction: Early detection minimizes rework costs
8. Implementation Case
Production Environment: Electric shaver assembly line
Testing Capacity: 450 units per hour
Measurement Points: 4 positions per shaver
Success Rate: 99.2% accurate state detection
Quality Impact: 40% reduction in customer complaints related to vibration
Conclusion:
The Dynatronic VibroMicro VM-S-100 based testing system provides an efficient and reliable solution for electric shaver vibration quality control. By combining non-contact laser measurement with advanced signal processing, it achieves accurate performance evaluation while effectively rejecting environmental interference. This approach enables manufacturers to implement quantitative quality standards and significantly improve product consistency and customer satisfaction.
