Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
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
No details available.
Integrations
No details available.
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
Senseye
Founded
2014
Country
United Kingdom
Website
senseye.io
Vendor Details
Company Name
Baker Hughes
Country
United States
Website
www.bakerhughes.com/bently-nevada/system-1-condition-monitoring-software
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