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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

APM Health, a component of GE Digital's asset performance management suite, oversees data for a wide range of assets and systems, thereby establishing a thorough and validated data repository that offers a unified perspective on anticipated performance across asset, plant, and enterprise levels. By addressing the issues of data inconsistency and delay linked to industrial asset management, APM Health grants users a real-time insight into asset health and condition, issues early warnings about possible failures, and identifies areas of elevated risk. The health manager utilizes the gathered data to assess and communicate the asset's current health within its operational framework. It employs anomaly detection through the calculation of various metrics and the implementation of rule-based exceptions. Furthermore, the health manager facilitates both continuous monitoring of asset health through data oversight and discrete or periodic assessments via rounds and calibration management, ensuring a comprehensive approach to asset reliability. This dual monitoring capability enhances the overall effectiveness of asset management strategies, allowing for timely interventions and informed decision-making.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

Free
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

GE Digital

Country

United States

Website

www.ge.com/digital/applications/asset-performance-management/apm-health

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

Product Features

IoT

Application Development No 
Big Data Analytics Yes 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management Yes 
Device Management Yes 
Performance Management Yes 
Prototyping No 
Visualization Yes 

OEE

Benchmarking No 
Cost Tracking No 
Downtime Tracking Yes 
Historical Reporting Yes 
Performance Metrics No 
Quality Control No 
Real Time Reporting Yes 
Root Cause Analysis No 
Trend Analysis Yes 
Work Order Management Yes 

Preventive Maintenance

Condition Monitoring Yes 
Inspection Management Yes 
Maintenance Scheduling Yes 
Mobile Access Yes 
Predictive Maintenance Yes 
Purchasing Yes 
Reminders Yes 
To-Do List Yes 
Vendor Management No 
Work Order Management Yes 

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