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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Fluke Connect™ software enables the collection, storage, and visualization of machine data from over 80 Fluke tools and sensors. This data is now securely stored in the cloud, allowing teams to access it effortlessly via their smart devices or computers. Whether it’s data from condition monitoring sensors or portable test instruments, maintenance and reliability teams are empowered with comprehensive information to make crucial decisions and perform essential tasks. By implementing remote sensors that automatically upload data to the cloud, time-consuming manual rounds can be significantly reduced. This innovation eliminates the need for clipboards, discrepancies, and data silos, ensuring that asset information is readily available on smart devices. Additionally, Fluke Connect Condition Monitoring™ software provides teams with the ability to analyze asset trends through graphical representations sourced from connected monitoring devices. By facilitating thorough data analysis, personnel can gain valuable insights that help in predicting asset conditions and minimizing the risk of unexpected downtime. Ultimately, this enhances overall operational efficiency and reliability.

Description

Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

eMaint CMMS

Integrations

eMaint CMMS

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fluke Corporation

Country

United States

Website

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

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Preventive Maintenance

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

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