Collect vibrations and sounds from equipment and machinery to explore the source of occurrence! 'Abnormal Sound Detector'
Predictive maintenance: Detects vibrations and sounds with four sensors! Contributes to the early detection of equipment abnormalities by detecting without being influenced by surrounding noise and other factors.
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. It collects vibrations and sounds using four sensors, allowing for the identification of the location of abnormal sounds through recording and playback on a PC. 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; steel sheets are used for areas where magnets cannot adhere ■ Level Display (Switchable Selection) - Operated through software on the PC, displaying generated vibrations in real-time and holding the maximum value ■ Save and Playback on PC - Connects to the PC via 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 - Data can be imported into a spectrum analyzer for frequency analysis to assist in identifying the cause of vibrations *For more details, please download the materials or contact us.
basic information
For more details, please feel free to contact us through Ipros or the official website of Shintec Hozumi.
Price information
For more details, please feel free to contact us through Ipros or the official website of Shintec Hozumi.
Delivery Time
Applications/Examples of results
【Purpose】 ■ Exploration of areas with poor screw tightening ■ Exploration of areas with welding defects ■ Exploration of parts interference locations ■ Investigation of motor abnormal noises
