AE – BASED INTEGRITY ASSESSMENT

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Rotative machinery condition monitoring that detect early-stage damage for industrial components using AE signal analysis

Project: ZDZW

Publisher: DIRA, IKERLAN

Technology: Acoustic Emissions technology

Industry: Manufacturing companies applying hardness treatments, Companies needing rotative machinery condition monitoring

INTRODUCTION

This solution predicts the quality of the product and anticipates possible defects arising during its manufacturing process by means of acoustic emissions (AE).It includes AI tools and data analytic services with the aim of developing quality control techniques to infer relationships between different signal parameters, such as signal amplitude, duration, counts, energy, or rise-time among others. This will allow operators to stop the production and adjust the manufacturing process thus avoiding the discard of a whole batch of difficult to reprocess material.

FEATURES/BENEFITS

  • Features:
    • NDT martensite estimation 
    • Early fault detection 
    • Quality assessment 
    • AI model training and prediction

 

  • Benefits
    • Automates martensite estimation 
    • NDT in-situ hardness estimation. 
    • Data-based martensite estimation (no experience needed) 
    •  Avoid the discarding of whole batches

TECHNICAL INFORMATION

NDT solution which requires low investment.

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