Condition Monitoring and Predictive Maintenance

For industrial companies, the cost of production slowdowns and stoppages can add up quickly, amounting to hundreds of thousands in lost revenue. By monitoring equipment during operations and then collecting and analyzing the equipment data, companies can optimize maintenance schedules to perform repairs at the right time. Condition monitoring refers to gathering performance and environmental data about equipment such as vibration, temperature, pressure, acoustics and fluid levels. Predictive maintenance is the use of analytics and machine learning/artificial intelligence to identify trends that indicate when a problem will occur in the future, and then plan to repair the problem at a time that is least disruptive to the business. 

MCM-100: Machine Condition Monitoring Edge Platform with the Intel Atom® E3950 Processor

Easy to set up, ready-to-go rotary machine vibration/condition monitoring edge platform

ADLINK’s MCM-100 ultra-compact machine condition monitoring edge platform was built for data acquisition and vibration measurement applications, delivering 24-hour vibration monitoring for rotating machinery and equipment.

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HARTING MICA® CISS Complete IIoT Starter Kit

Begin collecting data for your industrial condition monitoring application in 10 minutes

MICA® is a robust IoT edge computer hardware with software package designed and engineered with data centers, automation, transportation, industrial automation, healthcare and other harsh environments in mind. In combination with the IP54 CISS, the kit is an industrially robust solution from sensor to gateway. Through a powerful blend of web-based non-proprietary open source architecture, MICA® ‘s hardware and software allows architects, integrators, and engineers, as well as end-users, to discover their system’s potential.

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iCOMOX

Intelligent Condition Monitoring Box

iCOMOX is an open development platform for Condition Based Monitoring (CBM) of industrial equipment, assets and structures. iCOMOX monitors operating conditions from the surface of the equipment to identify potential faults and reduce risks associated with equipment operation and maintenance.

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STEVAL-BFA001V1B

Predictive maintenance kit with sensors and IO-Link capability

The STEVAL-BFA001V1B is an industrial reference design kit designed for condition monitoring (CM) and predictive maintenance (PdM) based on 3D digital accelerometer, environmental and acoustic MEMS sensors.

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Airport Asset Management Solution

Simplifying airport management with real-time insights

This solution solves the complexities of airport infrastructure management which arise due to growing air travel. Sensors are installed in key areas of customer interface such as baggage handling systems, portable water cabinets, passenger escalators and walkways. Allowing constant data communication on various parameters. Anomalous sensor data trigger alarms to facilities management. These early warning signals minimize equipment downtime and ensure smooth flow of operations and customer satisfaction.

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Cisco Kinetic Predictive Maintenance

Solution built to monitor machinery health in retail, transportation, oil, gas and manufacturing sectors

Cisco Predictive Maintenance solution enables manufacturers to proactively monitor equipment state and condition to prevent unplanned downtime, enhance operational performance and ensure human safety. Manually monitoring equipment health is a time-consuming and expensive process. The solution establishes a systematic framework to collect, transmit process, store and analyze IoT sensor (temperature, vibration, motion, etc.) data to drive relevant and actionable business insights. The solution delivers real-time machine data visualizations providing valuable insight into asset utilization, asset monitoring and machinery health.

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