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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The ARGUS Tri-axial wireless vibration analyzer introduces a groundbreaking approach to predictive maintenance, simplifying the process of assessing the condition of motors and their associated driven assets, such as pumps, fans, and compressors. This innovative tool facilitates effective condition monitoring of rotary machines, enabling the early detection of faults, which helps prevent potential equipment failures. By using ARGUS, organizations can significantly lower maintenance expenses while extending the longevity of their assets. Equipped with a super-compact, IP65-rated vibration sensor, this device ensures reliable data collection for ongoing monitoring and remote diagnostics. The versatile sensor can measure vibrations in three directions simultaneously, functioning as both a Single-axial and Tri-axial sensor. Users can access the dedicated ARGUS app to view and save various metrics, including RMS values of Velocity and Acceleration, Time waveforms, and FFT spectrums for both Velocity and Acceleration directly on their smartphones. Additionally, ARGUS can be easily mounted in various environments through the use of magnets, adhesives, or studs, making it adaptable to a wide range of applications. This versatility enhances its usability across diverse industrial settings, ultimately contributing to improved operational efficiency.

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

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

Signals & Systems (India) Pvt Ltd

Founded

1995

Country

India

Website

www.sandsindia.com

Vendor Details

Company Name

Senseye

Founded

2014

Country

United Kingdom

Website

senseye.io

Product Features

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Job Management
Maintenance Scheduling
Warranty Tracking
Work Order Management

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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