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What is SAM4?

Minimize unexpected downtime in AC motors and rotating machinery by employing electrical waveform analysis, which allows us to predict over 90% of potential failures as much as five months in advance. This method supports predictive maintenance designed for maintenance professionals, helping them focus their limited resources on the equipment that truly needs attention. With the SAM4 system, maintenance teams are equipped to initiate interventions solely when an emerging fault is detected, ensuring quicker responses through immediate fault diagnostics. Once an issue is identified, SAM4 accurately locates the precise fault, enabling the maintenance crew to tackle the underlying problem directly without the need for an exhaustive inspection of the entire asset. Experience success where previous predictive maintenance efforts may have struggled, as SAM4 offers an accuracy level that exceeds traditional vibration-based methods by 20% and is also faster and more cost-effective to implement and maintain. In addition, SAM4's ability to identify over 90% of failures demonstrates that it is up to 50% more accurate than previously used vibration-based solutions, significantly improving your overall maintenance strategy. Ultimately, this innovative approach not only enhances efficiency but also contributes to prolonged equipment lifespan and reduced operational costs.

What is DIVA DYNAMICS?

The DIVAâ„¢ DYNAMICS maintenance software has been expertly developed by professionals for industry practitioners, drawing on more than forty years of extensive research. It delivers precise forecasts using an algorithm-based interval management system, features a user-friendly interface, includes lifelong learning capabilities, is modular in structure, accommodates various interfaces, and is available in several languages. The software autonomously creates detailed inspection and maintenance schedules. One of its primary strengths is its ability to account for all variables impacting wear margins, such as operational times, environmental factors, stress levels, and component characteristics. Having been rigorously tested in the field, it effectively aims to reduce unexpected downtimes. Furthermore, the incorporation of our cutting-edge Personnel-Deployment-Planning module significantly boosts this goal, ensuring optimal resource allocation and enhancing operational performance. Ultimately, this software stands out as a comprehensive solution for maintenance management, blending innovation with practical efficiency.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

Semiotic Labs

Company Location

Netherlands

Company Website

www.samotics.com

Company Facts

Organization Name

IAS MEXIS

Date Founded

1977

Company Location

Germany

Company Website

www.ias-mexis.com

Categories and Features

CMMS

Not specified

Equipment Maintenance

Not specified

IoT

Big Data Analytics
Data Collection
Performance Management
Visualization

Maintenance Management

Predictive Maintenance

Preventive Maintenance

Mobile Access
Predictive Maintenance
Reminders
Vendor Management

Categories and Features

Maintenance Management

Asset Tracking
Calibration Management
Dispatch Management
Inventory Control
Inventory Management
Key & Lock Management
Mobile Access
Planning Calendar
Predictive Maintenance
Preventive Maintenance
Purchasing
Scheduling
Service History Tracking
Technician Management
Work Order Management

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