TECH OFFER

Self-diagnosis of CNC Machine Using Acoustic Pattern Recognition

KEY INFORMATION

TECHNOLOGY CATEGORY:
Infocomm - Big Data, Data Analytics, Data Mining & Data Visualisation
Infocomm - Artificial Intelligence
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TECHNOLOGY READINESS LEVEL (TRL):
LOCATION:
Singapore
ID NUMBER:
TO174561

TECHNOLOGY OVERVIEW

An AI-based system using acoustic pattern recognition has been developed to enable Computer Numerical Control (CNC) machine to possess self-diagnosis and provide feedback for machine operation. CNC machines are widely used in the manufacturing sector and they are machine tools that cut or move material as programmed on the numerical controller. Sounds associated with various cutting conditions such as normal cutting, heavy cutting, tool wear, and tool crash, can be recognised by the system, and this information can then be feedback to the actuators or end users for necessary actions. The system would facilitate remote monitoring of the machines, predictive maintenance, and failure analysis of the machine tools. System could be further adapted or enhanced to work for different types of instruments and acoustic sounds.

TECHNOLOGY FEATURES & SPECIFICATIONS

The system developed made use of edge AI and software platform for smart manufacturing to enable faster and better decision making. Acoustic data source could be collected conveniently to monitor the real-time machine operation status so that timely actions can be taken when necessary. The system requires minimum interference with the operation and setup of the machines and can be integrated with a wide variety of instruments. The system also offers flexibility to have its AI trained to recognise other types of sounds to address different application needs.

POTENTIAL APPLICATIONS

  • Precision engineering manufacturing environment that prefers to do predictive maintenance rather than periodic maintenance for cost saving and increase productivity.
  • Other applications with acoustic data source for detection & recognition from environment pollution detection to non-intrusively monitoring threatened bird species and water leak detection.

Benefits

  • Equip CNC machines with intelligent engine for real-time awareness and instant notification
  • Easy-to-use, economic, and independent to type of CNC controllers and machines
  • Solve manpower constraint, improve machine efficiency and factory productivity
  • Realise smart machine aligning with Industry 4.0 landscape
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