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features
design
support

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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

Utilize an edge gateway device for remote monitoring of your equipment, significantly minimizing the chances of downtime or malfunction. By implementing proactive maintenance, you can keep your machinery operational and efficient. Original equipment manufacturers (OEMs) now have a streamlined approach to address equipment issues proactively rather than waiting until problems arise. The integration of Condition Based Maintenance with Edge Management and Monitoring provides essential insights into your equipment through the use of an edge gateway device. This advancement allows for the proactive surveillance of various devices, including consumer goods, healthcare apparatus, security systems, digital displays, robotics, manufacturing equipment, and more, all through a dependable and secure remote management solution. As a result, you can save both time and costs, prolong the lifespan of your assets, and enhance customer loyalty with this innovative edge monitoring approach. Moreover, Condition Based Maintenance operates as an IoT platform-as-a-service, leveraging real-time data from sensors to facilitate near-instant monitoring of your assets. This further ensures that your equipment remains in optimal condition, ultimately contributing to higher 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

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Deployment

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

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Signals & Systems (India) Pvt Ltd

Founded

1995

Country

India

Website

www.sandsindia.com

Vendor Details

Company Name

Verizon

Founded

1983

Country

United States

Website

www.verizon.com/business/products/internet-of-things/connected-assets/condition-based-maintenance/

Product Features

Equipment Maintenance

Customer Database No 
Dispatch Management No 
Equipment Tracking No 
Inventory Control No 
Job Management No 
Maintenance Scheduling No 
Warranty Tracking No 
Work Order Management No 

Product Features

Industrial IoT

Condition Monitoring No 
Data Visualization No 
Factory Data Analytics No 
Machine Learning No 
Machine Workflow Creation No 
Predictive Maintenance No 
Production Line / Factory Insights No 
Real-Time Monitoring No 
Reporting / Analytics No 
Smart Alerts / Notifications No 

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