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What is Senseye PdM?

Senseye PdM utilizes cutting-edge proprietary machine learning approaches to predict asset failures before they happen. By continuously assessing the operational performance of machinery, Senseye is able to provide precise forecasts on when maintenance should be conducted. This capability enables maintenance teams to focus their resources on the most critical assets needing immediate attention. With a straightforward implementation process, organizations can lower their maintenance costs while improving the accuracy of their downtime forecasts. Built with scalability in mind, Senseye PdM can support any number of connected devices, regardless of size. The automated condition monitoring delivers insights that spotlight only the most crucial data. Users are informed about the expected operational lifespan of their machinery prior to the need for maintenance. Moreover, the platform facilitates the analysis of thousands of assets, offering clear and continuous updates on which machines require intervention. In addition to minimizing machine downtime, Senseye empowers industrial companies to enhance their operational efficiency and overall productivity. Thus, through its innovative approach, Senseye PdM not only optimizes maintenance strategies but also supports long-term asset management goals.

What is Fluke Connect?

Fluke Connectâ„¢ software allows for the efficient gathering, preservation, and visualization of machine data derived from more than 80 Fluke tools and sensors. This information is securely stored in the cloud, making it easily accessible for teams using their smart devices or computers. Whether the data originates from condition monitoring sensors or portable testing instruments, maintenance and reliability teams can leverage detailed insights to make critical decisions and carry out essential operations. The introduction of remote sensors that automatically upload data to the cloud significantly diminishes the need for tedious manual inspections. This advancement reduces reliance on clipboards, mitigates discrepancies, and breaks down data silos, ensuring that asset information is instantly accessible on smart devices. Moreover, Fluke Connect Condition Monitoringâ„¢ software equips teams with the capability to analyze asset trends through visual data representations from connected monitoring devices. By enabling comprehensive data analysis, team members can derive meaningful insights that assist in forecasting asset conditions and lowering the likelihood of unforeseen downtime. This ultimately leads to improved operational efficiency and reliability, empowering teams to work smarter and more effectively. In this way, Fluke Connect serves as an essential tool for modern maintenance and reliability processes.

Media

Media

Integrations Supported

Integrations Supported

eMaint CMMS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Senseye

Date Founded

2014

Company Location

United Kingdom

Company Website

senseye.io

Company Facts

Organization Name

Fluke Corporation

Company Location

United States

Company Website

www.fluke.com/en-us/products/fluke-software/connect

Categories and Features

Condition Monitoring

Not specified

IoT

Big Data Analytics
Data Management
Device Management
Performance Management
Visualization

Machine Monitoring

Not specified

OEE

Downtime Tracking
Historical Reporting
Real Time Reporting
Trend Analysis
Work Order Management

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Work Order Management

Categories and Features

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