wānana Motor Predictive Diagnostic Maintenance Solution

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wānana Motor Predictive Diagnostic Maintenance Solution
Powered by EtherWAN x AMASTek

Overview

EtherWAN and AMASTek's Motor Predictive Diagnostic Maintenance utilizes IoT techniques with Azure IoT service like reliability-centered maintenance, overall equipment effectiveness, and analytics to significantly improve maintenance efficiency, asset availability, and lifetime value. Limited visibility on asset status and performance, high costs of managing aging legacy assets, high asset replacement costs and other overhead contribute to overall maintenance spending. Our solution helps practitioners evaluate assets and diagnose problems using monitoring tools like sensors. We leverage advanced algorithms and machine learning principles to deploy repeatable maintenance solutions and an optimized asset lifecycle maintenance plan.

To enable preventive maintenance for machines, a series of processes and analyses must be carried out that convert collected sensor data to useful information that predicts the health condition of machines and crucial elements. The process is as follows:

MPDM Solution by EtherWAN x AMASTek

Key Features:

Provides full records and remote monitoring with persistent data collection and storage
Aids in the timely replacement of failing parts and continuous operations using resonance analysis, torque & abnormal temperature monitoring, unbalanced detection and any gear damage detection
Real-time remote asset visibility and control enabled
Notifies personnel of minor to severe system anomalies with automated alerts to gain faster maintenance
Intelligence in the cloud and at the edge
Integrated Microsoft Azure IoT service and SaaS

The Product Offering:
In this MPDM solution, the intelligence edge computing leveraging by EtherWAN AiR PACE IoT Smart edge computing gateway seamlessly extends Azure IoT to edge devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage.

Download AiR PACE Datasheet

AMASTek Predictive Maintenance Management

AMASTek Predictive Maintenance provides equipment operators and maintenance engineers with comprehensive insight into asset risk enabling them to maintain higher levels of asset availability.

Using AMASTek Predictive Maintenance Management System, asset operators are able to:

Intelligent Inspection

Identify high-risk assets before they fail, prioritize maintenance expenditures, and operationalize identified maintenance needs.

Visualize risks across assets portfolios

View details of assets risk across critical business and operating dimensions.

Data integration and correlation

Seamless integration with virtually all internal and external systems.

Advanced analytics

Anomaly detection
Machine learning
Predictive analytics
Reinforcement learning

Coordinate with alerts and notification functionality
Facilitate effective coordination through configurable alerts and thresholds. Summarize and present alerts within the application and configure for delivery to designated contacts via SMS , email or LINE notification.

EtherWAN – Comprehensive IoT product line that incorporates broad scalability, robust reliability, and heavy data management into efficient networking devices.
www.etherwan.com

AMASTek – An expert in providing a comprehensive solution from the edge device to cloud infrastructure, bring more long-term benefits and value.
www.amastek.com.tw

Field-proven Reliability

Hardened Ethernet equipment with superior reliability, long MBTF, redundant power support, wide operating temperature range, EDI, EMI, RFI and surge protection.