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Sensors Product List and Ranking from 1359 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Sep 16, 2026~Oct 13, 2026
This ranking is based on the number of page views on our site.

Sensors Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Sep 16, 2026~Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. null/null
  2. MACOME CORPORATION NAGANO TOKYO OSAKA NAGOYA HIROSHIMA Nagano//Industrial Electrical Equipment
  3. センシリオン Kanagawa//Electronic Components and Semiconductors
  4. 4 エスエスシー Mie//Machine elements and parts
  5. 5 三協インタナショナル Tokyo//Trading company/Wholesale

Sensors Product ranking

Last Updated: Aggregation Period:Sep 16, 2026~Oct 13, 2026
This ranking is based on the number of page views on our site.

  1. PICLIA Piezo Cable Sensor - High Heat Resistance, High Sensitivity *Evaluation Kit DAIKIN FINETECH, LTD.
  2. Easy predictive and preventive maintenance! Wi-Fi vibration sensor *Demo units available for loan.
  3. Radar Level Sensor "FR Series"
  4. 4 Clamp-on flow sensor "FD-H series"
  5. 5 AI-equipped image sensor 'IV4 Series'

Sensors Product List

7771~7781 item / All 7781 items

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Nearline-PM for Pharmaceuticals

Early detection of equipment abnormalities in pharmaceutical processes with vibration sensors. Supporting planned maintenance.

In the pharmaceutical industry, process management emphasizes the importance of stable operation of manufacturing equipment. Equipment failures can lead to production stoppages and quality issues, potentially resulting in significant losses. Particularly in drug manufacturing, abnormalities in equipment directly affect product quality, necessitating early detection of anomalies and appropriate responses. Nearline-PM enables early detection of equipment anomalies through vibration diagnostics using vibration sensors, facilitating planned maintenance. 【Use Cases】 - Monitoring of pumps, compressors, fans, and other equipment on the production line - Remote monitoring of equipment vibration data - Early detection of equipment anomalies to reduce downtime 【Benefits of Implementation】 - Reduces the risk of equipment failure and achieves stable operation - Cuts maintenance costs through planned maintenance - Contributes to maintaining product quality

  • Vibration Inspection
  • Vibration Monitoring
  • Safety Sensors
  • Sensors

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Nearline-PM for Manufacturing Industry

No wiring work required! Detects equipment vibrations and enables predictive maintenance.

In the manufacturing industry, production stoppages due to equipment failures can lead to significant losses. In particular, rotating machines such as motors, pumps, fans, and compressors often exhibit abnormal vibrations as signs of impending failure, making early anomaly detection crucial. Nearline-PM addresses these challenges by using wireless vibration sensors for equipment vibration diagnostics, enabling early detection of abnormalities and facilitating planned maintenance. This reduces the risk of production stoppages due to unexpected failures and helps establish a stable production system. 【Use Cases】 * Anomaly detection for rotating machines such as motors, pumps, fans, and compressors * Abnormality detection in bearings * IoT implementation for equipment 【Benefits of Implementation】 * Reduction in maintenance costs * Prevention of unexpected failures * Improved equipment status verification and efficiency on-site

  • Vibration Inspection
  • Vibration Monitoring
  • Safety Sensors
  • Sensors

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Nearline-PM for Infrastructure

No wiring work required, easy to install afterwards. Protects the structural integrity of infrastructure facilities through vibration diagnosis.

In the infrastructure industry, maintaining the integrity of structures such as bridges, tunnels, and plants is crucial. It is necessary to detect deterioration and abnormalities in structures early to prevent large-scale repairs and accidents. Nearline-PM uses wireless vibration sensors for vibration diagnostics, enabling early detection of abnormalities in infrastructure facilities and supporting planned maintenance. It requires no wiring work and can be easily retrofitted to existing equipment. 【Usage Scenarios】 - Vibration monitoring of bridges - Abnormality detection in plant equipment - Vibration monitoring of equipment in tunnels 【Benefits of Implementation】 - Early detection of abnormalities in structures, reducing repair costs - Prevention of unexpected accidents - Contributing to the longevity of equipment

  • Vibration Inspection
  • Vibration Monitoring
  • Safety Sensors
  • Sensors

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Nearline-PM for Food Factories

Detecting abnormal sounds in food factories to identify equipment anomalies early.

In the food industry, unusual noises are an important sign indicating equipment abnormalities. Early detection of these noises and identifying their causes are essential to prevent risks such as product quality deterioration and manufacturing line stoppages. Nearline-PM is a predictive maintenance system designed to detect unusual noises in food factory equipment and to discover equipment abnormalities at an early stage. 【Usage Scenarios】 - Monitoring equipment prone to unusual noises, such as conveyors, pumps, and motors - Early detection of failure causes by identifying the source of unusual noises 【Benefits of Implementation】 - Reduced risk of production stoppages due to sudden equipment failures - Maintenance of product quality - Reduction in maintenance costs

  • Vibration Inspection
  • Vibration Monitoring
  • Safety Sensors
  • Sensors

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Nearline PM for the manufacturing industry

Wireless vibration sensor contributing to the early detection of bearing abnormalities.

In quality control of the manufacturing industry, stable operation of equipment is essential for maintaining product quality. Abnormalities in bearings can lead to product defects and stoppages in the production line. It is particularly important to detect early signs of bearing abnormalities that appear in the high-frequency range and take appropriate measures. Near-line PM captures signs of bearing abnormalities early through high-frequency measurements, supporting stable operation of equipment. 【Usage Scenarios】 - Monitoring of bearings in rotating machinery on the production line - Management of abnormal precursors by the quality control department - Planned maintenance by maintenance personnel 【Benefits of Implementation】 - Reduction of product defects through early detection of bearing abnormalities - Decreased risk of production line stoppages through planned maintenance - Cost reduction through increased equipment longevity

  • Vibration Monitoring
  • shaft
  • Generators and transmission motors
  • Sensors

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Nearline PM for Logistics Warehouses

Early detection of bearing abnormalities and support for optimizing inventory management.

In the logistics industry, the stable operation of material handling equipment (such as conveyors and forklifts) within warehouses is essential for efficient inventory management. Equipment failures can lead to inventory stagnation and shipping delays, potentially resulting in decreased customer satisfaction. Nearline PM enables early detection of abnormalities in bearings through high-frequency vibration measurement, allowing for planned maintenance. This minimizes equipment downtime and ensures a smooth flow of inventory. 【Usage Scenarios】 - Equipment such as conveyors, forklifts, and automated warehouses - 24-hour operating warehouses - Integration with inventory management systems 【Benefits of Implementation】 - Reduced risk of equipment failure - Improved inventory turnover rate - Lower maintenance costs

  • Vibration Monitoring
  • shaft
  • Generators and transmission motors
  • Sensors

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Nearline PM for Energy Equipment

Wireless vibration sensor contributing to the early detection of bearing abnormalities.

In the energy industry, bearing abnormalities in rotating machinery are a significant issue that can lead to equipment downtime and decreased efficiency. Especially in power plants and facilities, early detection of bearing abnormalities is essential for stable operation and cost reduction. Nearline PM detects bearing abnormalities in high-frequency bands above 10 kHz, allowing for early identification of signs of failure and enabling proactive measures. 【Usage Scenarios】 - Power generation equipment - Plant equipment - Rotating machinery such as pumps, fans, and compressors 【Benefits of Implementation】 - Stable operation of equipment - Reduction in maintenance costs - Decrease in downtime due to failures

  • Vibration Monitoring
  • shaft
  • Generators and transmission motors
  • Sensors

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The accuracy of predictive maintenance will dramatically change! Introduction to "High-Frequency Vibration Diagnosis"

Condition monitoring of rotating machinery: Why should we measure above 10 kHz?

Did you know that abnormalities in the bearings of rotating machinery actually manifest most quickly in the high-frequency range above 10 kHz? Despite signs appearing 3 to 6 months before a failure, many sites are unable to measure these signals. This document clearly explains the necessity of high-frequency measurements from both the perspective of actual measurement data and diagnostic techniques.

  • Pharmaceutical related factory equipment
  • Vibration Monitoring
  • Vibration Inspection
  • Sensors

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Introduction of Exhibiting Companies at Robot Festa Fukushima 2025

Jōhoku Kōhan Seisakusho Co., Ltd.

A product that combines gauges and sensors.

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Global market size of wireless motion sensors

This report systematically organizes the medium to long-term growth trends of the wireless motion sensor market through both quantitative and qualitative analyses.

This document provides an explanation of the global market size for wireless motion sensors. It covers an overview of wireless motion sensors, analysis by product type, analysis by application, analysis by company, analysis by region, technological innovations, and future market outlook. Our company, based in Tokyo, integrates industrial information from around the world and provides reports to support corporate decision-making. *For more details, please download the PDF or feel free to contact us.*

  • others
  • Sensors

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