Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Anticipate machine malfunctions before they arise by utilizing machine learning (ML) and taking proactive measures. Within minutes, you can initiate equipment monitoring through a straightforward installation, coupled with automated and secure analysis via the comprehensive Amazon Monitron system. The accuracy of this system improves over time, as it incorporates technician insights provided through mobile and web applications. Serving as a complete solution, Amazon Monitron leverages machine learning to identify irregularities in industrial machinery, facilitating predictive maintenance. By implementing this easy-to-install hardware and harnessing the capabilities of ML, you can significantly lower expensive repair costs and minimize equipment downtime in your factory. With the help of predictive maintenance powered by machine learning, you can effectively reduce unexpected equipment failures. Amazon Monitron analyzes temperature and vibration data to forecast potential equipment failures before they occur. Assess the initial investment needed to launch this system against the potential savings it can generate in the long run. In addition, investing in such a system can lead to enhanced operational efficiency and greater peace of mind regarding equipment reliability.
Description
System 1 is an all-encompassing platform for condition monitoring and diagnostics that aims to improve the reliability and functionality of industrial machinery. By integrating data from multiple sources such as vibration monitoring, process controls, and system operations, it offers a comprehensive overview of asset health. The platform connects effortlessly to edge data sources, capturing high-resolution data on vibration and processes with a frequency of up to once per second. It is compatible with industry-standard protocols like OPC UA, facilitating easy data export and ensuring it can work seamlessly with current systems. Additionally, it features state-based alarm configurations and decision support tools, allowing users to create tailored rules that provide advanced insights into both machine performance and process conditions. This proactive strategy is invaluable in identifying potential changes before they lead to failures. The software also includes an easy-to-use Human-Machine Interface (HMI) builder that visually depicts plant assets, utilizing color-coded indicators to represent the health of machines effectively. As a result, operators can make informed decisions based on real-time data and insights.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
Amazon Web Services (AWS)
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
Amazon
Country
United States
Website
aws.amazon.com/monitron/
Vendor Details
Company Name
Baker Hughes
Country
United States
Website
www.bakerhughes.com/bently-nevada/system-1-condition-monitoring-software
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Preventive Maintenance
Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management