Acceleration Sensor - メーカー・企業17社の製品一覧とランキング

更新日: 集計期間:Oct 29, 2025~Nov 25, 2025
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Acceleration Sensorのメーカー・企業ランキング

更新日: 集計期間:Oct 29, 2025~Nov 25, 2025
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  1. 中部精機 Aichi//others
  2. 明星電気 東京事業所 Tokyo//others
  3. 東京測器研究所 Tokyo//Other construction industries
  4. 共和電業 Tokyo//Building materials, supplies and fixtures manufacturers
  5. 5 内外ゴム Hyogo//others

Acceleration Sensorの製品ランキング

更新日: 集計期間:Oct 29, 2025~Nov 25, 2025
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  1. Elevator Earthquake Detector "SEB Type" 中部精機
  2. Seismic Sensor S611 明星電気 東京事業所
  3. Small high-response high-capacity single-axis accelerometer 【ARGH-A】 東京測器研究所
  4. Accelerometer 共和電業
  5. 4 New products: Vibration sensor, Oscilloscope vibration sensor, Acceleration sensor. ケーエンジニアリング 開発室

Acceleration Sensorの製品一覧

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AI-based bearing abnormal vibration detection demo

Display the FFT results by inferring AI learning from the acceleration data of the bearings.

Data collected from the bearing's acceleration sensor is processed through AI learning inference using the Solist-AI TM simulator, which displays the level of abnormality. The Solist-AI TM simulator is software that simulates the AI accelerator function of Solist-AI TMIC (ML63Q2557) on Windows. Demo content: 1. Collect and input data from the acceleration sensor of a normal bearing, perform FFT processing with DT-EBML63Q2557, and conduct AI learning. 2. Switch to the acceleration sensor of an abnormal bearing. 3. Collect and input data from the acceleration sensor of the abnormal bearing, perform FFT processing with DT-EBML63Q2557, and conduct AI inference. 4. Display the inference results (level of abnormality) on the LCD of DT-EBML63Q2557. 5. Display the FFT results of vibration data for both normal and abnormal bearings on the PC showing the vibration data waveform.

  • Other Software

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Broad motion sensor

Covers everything from low-frequency vibrations to mechanical vibrations in one.

This is an original IMV sensor that outputs a DC component including tilt and acceleration from 0.1 gal to 6G at frequencies from 0.1 Hz to 1000 Hz in three axes.

  • Crane and others
  • others

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Seismic sensor

When an earthquake occurs, this device quickly detects the P-wave (primary wave).

This product automatically activates and turns on the electrical circuit when it detects seismic motion (P-wave or S-wave) exceeding the set acceleration (in gal), and is designed to work in conjunction with control circuits for elevators, general equipment, and commercial facilities to automatically operate during an earthquake, controlling the shutdown of equipment and alarms. ● Low false activation due to earthquake judgment by microcontroller ● Equipped with a built-in battery for power outage support ● Resetting and operation confirmation can be remotely controlled via contact signals ● Settable acceleration in any of three levels *For details, please check by requesting materials or downloading the catalog.

  • Other elevators and transport systems

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[Data] Structural Analysis of MEMS Components

Comprehensive analysis of the structure of MEMS components using a combination of non-destructive and destructive methods!

This document introduces the structural analysis of MEMS components. It includes "non-destructive observation of accelerometers" using X-ray tomography to observe the internal structure of the package, as well as "optical microscope and SEM observation after mechanical polishing of accelerometers" and "cross-sectional observation of microphones (CROSS BEAM FIB/SEM)." Please feel free to download and take a look. [Contents] ■ Non-destructive observation of accelerometers ■ Optical microscope and SEM observation after mechanical polishing of accelerometers ■ Cross-sectional observation of microphones (CROSS BEAM FIB/SEM) *For more details, please refer to the PDF document or feel free to contact us.

  • Analysis and prediction system

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Technical Data: NaruHodo Series 6 "About Shock Measurement"

Shock force (acceleration) measurement method, outline estimation method for collision acceleration! If you know just this, you should be almost fine.

This document provides an easy-to-understand explanation to deepen your understanding of shock measurement. It addresses questions such as "What is the difference between vibration and shock?" and "Are there differences in the measurement methods for shock and vibration?" using graphs and diagrams for clarification. Please take a moment to read it. 【Contents】 ■ What is the difference between vibration and shock? ■ Are there differences in the measurement methods for shock and vibration? ■ When measuring shock acceleration, it is necessary to predict the duration of the shock and the level of acceleration when selecting an accelerometer. How should this estimation be made? ■ What exactly is a shock response spectrum? *For more details, please refer to the PDF document and feel free to contact us.

  • Other measuring instruments

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[Data] SENSE PAL Series "Motion Sensor PAL"

This is the data sheet for the "Motion Sensor PAL," including an overview, main features, and supported versions!

This document is the data sheet for the SENSE PAL series "Motion Sensor PAL." It includes the product's "Overview," as well as "Key Features," "Supported Versions," "Used Sensors," and "Connection with BLUE PAL/RED PAL." The "Motion Sensor PAL" is equipped with an accelerometer, allowing you to detect the movement of objects when combined with BLUE PAL or RED PAL. [Contents] ■ Overview ■ Key Features ■ Supported Versions ■ Used Sensors ■ Connection with BLUE PAL/RED PAL *For more details, please refer to the PDF document or feel free to contact us.

  • Radios, walkie-talkies, and intercoms

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[Case Study] Demonstration Experiment of Earthquake Monitoring for Nagoya Bridge

It was trial-introduced for the understanding of complex behavior during large-scale earthquakes and the refinement of response analysis techniques.

This is an introduction to a case where 'sonas x01' was adopted for a demonstration experiment aimed at clarifying the damage mechanisms of infrastructure structures, such as bridges, by measuring their vibrations during earthquakes and translating that knowledge into reinforcement and design methods. In constructing this monitoring system, there were no locations available for a fixed power supply, so it was required that all nodes, including the master unit and nodes for internet connection, be battery-operated, and that they have a data upload function to confirm acceleration data during an earthquake without needing to go on-site. Such requirements, which are considered difficult with general sensor network technology, were achieved with this product without the need for additional special implementations or settings. 【Case Study】 ■ Installation Site: Yokohama National University ■ Challenges Before Installation - Earthquake monitoring was necessary to clarify the damage mechanisms of structures. ■ Reason for Selection - The power-saving capability that enables continuous monitoring outdoors without a power supply was a key point. *For more details, please refer to the PDF document or feel free to contact us.

  • Other measuring instruments

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[Use Case] FFT Vibration Measurement of Ball Screws [Failure Prediction Detection and Predictive Maintenance]

Alert before defective products occur! Introducing examples of reduced production equipment failures.

We will introduce a case where the 3-axis accelerometer of "ParaRecolectar" was used to predict failures through vibration measurement of a ball screw. In the scroll processing of the workpiece, there was a challenge in not knowing the degree of deterioration of the ball screw, which led to bearing failures and a decline in product quality. As a result of the implementation, the annual replacement costs were reduced by 85%, and line downtime improved from 128 hours to 0, with defective products decreasing from 4,000 units to 0. [Case Overview (Partial)] ■Challenges - Eliminate product quality defects - Implement planned maintenance ■Implementation Method - Installed accelerometers near the bearings of the shaft *For more details, please download the PDF or feel free to contact us.

  • Measurement and Inspection

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[Use Case] Early Detection of Bearing Abnormalities [Failure Prediction Detection and Predictive Maintenance]

From Sudden Failures to Planned Maintenance! Introducing Cases of Early Detection with FFT.

We would like to introduce a case where bearing abnormalities were detected early using a 3-axis accelerometer from "ParaRecolectar" through FFT. In the process of molding powdered raw materials, equipment stoppage due to bearing failure was a significant issue. As a result of the implementation, we were able to monitor the vibrations of the bearings and detect signs of failure (abnormal sounds caused by damage to the bearing case). 【Case Overview (Partial)】 ■Issues - Equipment stoppage occurred due to bearing failure in the process of molding powdered raw materials. - Replacing the bearing after failure incurs significant damage. *For more details, please download the PDF or feel free to contact us.

  • Measurement and Inspection

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