Sound and Vibration Testing Equipment | Daioh Electric Co., Ltd. | Measurement System Development, Measuring Instrument Calibration Services, LSI Test Solutions

Sound and Vibration Testing Equipment | Daioh Electric Co., Ltd. | Measurement System Development, Measuring Instrument Calibration Services, LSI Test Solutions

Noise and vibration testing
From human senses
Automatic judgment by numerical value

Sound and Vibration Inspection Equipment

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Do you have any concerns?

Worries
  • Judgment depends on the person.

    The judgment depends on the person.

    Judgment is based on feel for sound and vibration quality, leading to ambiguous standards.

  • Safety concerns

    There are safety concerns.

    It is necessary to touch rotating or operating parts of the product for inspection.

  • Automation is difficult.

    Automation is difficult.

    Commercially available measuring instruments cannot be incorporated into the inspection process, hindering labor saving.

次

We'll solve your problem.

  • Conventional testing

    BEFORE

    The operator judges by sound and vibration.

    The criteria vary from person to person.

    Inspection work in hazardous conditions

    Recording and managing results is also done manually.

  • After introduction

    AFTER

    Automatically acquire sound and vibration using sensors.

    Eliminate variations with automated decisions based on numerical values

    Achieve non-contact and safe inspections

    Automatically record and manage inspection results

Product Overview "DSVI Series"

Inspection device "DSVI Series" for automatic quality judgment of sound and vibration
Quantifies inspections that relied on human senses, preventing judgment variations.

Features of the "DSVI Series"
  • 01|
    Create inspection standards easily

    Create inspection standards easily

    You can create inspection criteria just by registering good data.
    You can start operating in a short period of time without specialized knowledge.

  • 02|
    Integrate necessary functions for inspection

    Integrate necessary functions for inspection

    Measurement, analysis, judgment, and storage are all completed within the device.
    Inspection and result confirmation can be done on-site without an external PC.

    Real-time waveform display

    Frequency analysis

    Create inspection standards

    Save result list

    Waveform data save/read

  • 03|
    Supports multi-point and multi-axis inspection

    Supports multi-point and multi-axis inspection

    Simultaneous inspection of sound and vibration, and multi-directional evaluation are possible with multiple sensor inputs.
    We support flexible inspections according to product characteristics.

  • 04|
    Easy to implement options

    Easy to implement options

    Prepare the sensor mounting jig for a smooth startup.

Here are some case studies

01|
Eliminate variability in hearing tests and automate the testing process

Automate inspection
Customer Challenges The sound quality of audio output devices was judged by human hearing, which led to ambiguous standards and inconsistencies.
This product's solution By acquiring and digitizing sound and vibration using a microphone, and performing automatic judgment, we are replacing inspections that rely on human hearing.
Achieve highly reproducible inspections that can be judged by anyone according to the same standards.

02|
Eliminate variability due to human senses and automate inspections.

Eliminate vibration variations
Customer Challenges The judgment of ventilation fan vibration quality relied on human tactile sensation, leading to ambiguous criteria and variability.
This product's solution Replace inspections that rely on human touch by acquiring and digitizing vibration data with an accelerometer for automatic judgment.
We achieve highly reproducible inspections that anyone can judge by the same standards.

Introduction video

Judgment technique (MT method)

Anomaly detection imagery

This product employs a decision algorithm that uses the Mahalanobis-Taguchi (MT) method.
By defining the normal state based on good quality data and quantifying the distance from the measurement data, we can determine the presence of abnormalities. This enables high-precision abnormality detection that does not rely on human senses.

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