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Land Transport

Equipment vibration detection and modal analysis system

 

Solution Background

As industrial equipment evolves towards high-end and intelligent development, vibration issues have become a core bottleneck restricting equipment reliability and lifespan. Traditional vibration detection systems generally suffer from insufficient precision, poor flexibility, and reliance on imported technology, making it particularly difficult to achieve early fault warning and vibration source localization under complex working conditions.

Industry Pain Points: Foreign monopoly technology leads to high maintenance costs, existing equipment lacks sensitivity to subtle vibration detection, and modal analysis efficiency is low

Policy Driven: The national "14th Five-Year Plan" for intelligent manufacturing clearly proposes breaking through the "bottleneck" problem of high-end sensing and diagnostic technologies

Market Demand: China's predictive maintenance market size is projected to exceed 100 billion yuan by 2025, with a significant gap in high-precision vibration diagnostic technology

Solution Introduction

Solution Overview

This system is the first independently developed vibration modal analysis system in China, featuring low deviation, high accuracy, flexible configuration, and support for custom functions. Taking "precise perception - intelligent analysis - proactive warning" as its core path, it deeply integrates multi-physical field coupled modeling and big data mining technology, providing a full-chain solution from data acquisition to decision support.

  • Perception Layer: Based on vibration sensors, supports vibration signal capture for diverse equipment such as rotating machinery and precision instruments
  • Analysis Layer: Integrates dual analysis modes of experimental modal and operational modal, enabling vibration energy tracing and deep excavation of structural dynamic characteristics
  • Decision Layer: Provides intelligent outputs such as root cause analysis of vibration faults, visual assessment of health status, and structural optimization suggestions

Applicable Scenarios

  • Energy Equipment: Wind turbine blade flutter monitoring, nuclear power plant main pump vibration health assessment
  • Transportation: High-speed rail wheelset polygonal wear diagnosis, ship propulsion system torsional vibration suppression
  • Precision Manufacturing: Lithography machine workbench micro-vibration control, CNC machine tool spindle vibration optimization

Technical Advantages

  • Full-stack Technology Independence
    A full-chain localized solution from sensors and analysis algorithms to visualization platforms, breaking foreign technological blockade
  • Deep Scenario Adaptability
    Configurable into multiple forms such as portable detectors, fixed monitoring stations, and distributed cloud platforms, adapting to different environments like laboratories, workshops, and field operations
  • Intelligent Learning and Evolution
    The diagnostic system continuously absorbs field data and expert experience, forming an enterprise-specific vibration knowledge graph
  • Human-Machine Collaborative Diagnosis
    Automatically generates diagnostic reports while retaining a manual review channel, achieving complementary decision-making between AI and engineers

Application Cases

Case One: Vibration Detection and Modal Analysis System for a Certain Military Product Equipment

Pain Points: Foreign monopoly technology leads to high maintenance costs, existing equipment lacks sensitivity to subtle vibration detection, and modal analysis efficiency is low
Solution: Based on vibration detection and analysis technology, with analysis software and data mining as the core, it provides technical support for handling vibration and acoustic issues of critical components and predicting equipment failures
Effect: Fault diagnosis accuracy over 80%

 

 

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Solution Introduction

Application Cases

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