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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

We cater to numerous clients, ensuring daily prevention of downtime while significantly enhancing their financial outcomes. Explore approaches to eradicate downtime specific to your sector, leading to decreased financial setbacks and improved operational efficiency. Our continuous monitoring focuses on critical assets that could result in lost production and expensive repairs if they fail. Each year, organizations face production losses stemming from unexpected downtime and its repercussions. We can proactively monitor and address over 100 potential machine issues while they are still developing. These problems can often be detected weeks or even months before a failure occurs. Our platform offers comprehensive monitoring across various conditions and components, providing a complete overview of an asset’s health. By identifying issues early, we enable proactive measures that allow for the most cost-effective resolutions, minimizing unplanned downtime and lowering yearly machine repair expenses. We combine the strengths of human insight and advanced technology to guide our clients in determining the necessary actions to take. Ultimately, our commitment is to enhance operational reliability and safeguard against unexpected disruptions.

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

$199 per month
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

AssetWatch

Country

United States

Website

www.assetwatch.com

Product Features

Equipment Maintenance

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

Product Features

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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