Vibration Analysis

What Is Vibration Analysis in Manufacturing?

Vibration Analysis represents a fundamental measurement technology for the systematic collection and analysis of vibration patterns in rotating machinery and production systems. This precise monitoring method enables the early identification of wear and potential failures through the continuous analysis of dynamic vibration characteristics.

Metrological Foundations

The implementation of Vibration Analysis is based on high-precision vibration measurement technology:

Fundamental Measurement Parameters:

• Frequency range: 0.5 Hz - 20 kHz
• Dynamic range: >90 dB
• Amplitude resolution: <0.1 µm
• Sampling rate: >40 kHz

This systematic data collection enables a detailed analysis of vibration patterns.

Analytical Methodology

The evaluation of vibration data is conducted through:

Core Analysis Methods:

• FFT spectral analysis (Fast Fourier Transformation)
• Envelope analysis for bearing damage
• Order analysis for speed-dependent phenomena
• Time series analysis for transient events

Diagnostic Capabilities

Vibration Analysis identifies various damage mechanisms:

Detectable Failure Types:

• Imbalances and misalignment errors
• Bearing damage at different stages
• Gear defects and transmission damage
• Structural resonances and weaknesses

Performance Standards

The evaluation aligns with international standards:

Reference Standards:

• ISO 10816 for vibration assessment
• ISO 13373 for condition monitoring
• DIN ISO 20816 for specific machine types
• VDI 3839 for frequency-selective evaluation

Technological Integration

Modern Vibration Analysis incorporates:

System Components:

• Wireless sensor networks
• Edge Computing for local analysis
• AI-based pattern recognition algorithms
• Cloud-based predictive models

The systematic implementation of Vibration Analysis enables significant improvements in system reliability:

• Reduction of unplanned downtime by 45-55%
• Extension of machine lifespan by 25-35%
• Optimization of maintenance efficiency by 30-40%
• Increase in Overall Equipment Effectiveness by 15-20%