Collect vibrations and sounds from equipment and machinery to explore the source of occurrence! 'Abnormal Sound Detector'
Predictive maintenance: Detecting vibrations and sounds with four sensors! Contributing to the early detection of equipment anomalies by detecting without being affected by surrounding noise and other influences.
The "Abnormal Sound Detector (IoN SHINTEC)" is an effective product for collecting abnormal sounds from equipment and machinery, contributing to quality control and predictive maintenance measures. By collecting vibrations and sounds with four sensors and recording and playing them back on a PC, it is possible to identify the location of abnormal sounds. It contributes to the increasing demand for quality control and predictive maintenance measures in recent years. <Features> ■ Vibration Pickup Sensor - Directly picks up vibrations, making it less susceptible to surrounding noise. - The strength of the vibrations provides an estimate of the distance to the sound source. ■ Magnetic Sensor - Directly attaches to metal parts; for areas where magnets cannot adhere, steel sheets are used. ■ Level Display (Switchable Selection) - Operated through software on the PC, it displays the generated vibrations in real-time and holds the maximum value. ■ Save and Playback on PC - Connects to the PC via a USB cable, allowing data to be saved on the PC. ■ Recording - Capable of recording a few seconds before and after pressing the button. ■ Cause Analysis - By importing data into a spectrum analyzer, it can be used for frequency analysis to analyze the causes of vibrations. *For more details, please download the materials or contact us.
basic information
For more details, please feel free to contact us via Ipros or the official website of Shintec Hozumi.
Price information
For more details, please feel free to contact us via Ipros or the official website of Shintec Hozumi.
Delivery Time
Applications/Examples of results
[Applications] ■ Exploration of areas with poor screw tightening ■ Exploration of areas with welding defects ■ Exploration of parts interference points ■ Investigation of motor abnormal noises
