Condition monitoring for industrial motors by Infysion technologies

	Condition monitoring for industrial motors Infysion technologies

Technology Category	Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Agriculture Equipment & Machinery Utilities
Applicable Functions	Discrete Manufacturing Facility Management Field Services Maintenance Process Manufacturing
Use Cases	Advanced Metering Infrastructure (AMI) Asset Health Management (AHM) Asset Lifecycle Management Machine Condition Monitoring
Services	Cloud Planning, Design & Implementation Services Software Design & Engineering Services System Integration
Challenge	captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumps generates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency. processes the high volume, high frequency data to monitor, analyze & alert about machine condition. Read More
About Customer	Customer is is an Indian motor company with expertise in manufacturing & design of customized electric motors and drives. Focused around Industrial automation, Energy saving & Pumping, they takes focused interest in technological innovations in electromagnetic mobility. Customer lays the foundations for an intelligent of smarter, reliable, and emission-free mobility, which is based on intramural technology. Customer offers powertrain solutions from 2Wheelers, 3 Wheelers, 4 Wheelers, buses and off road vehicles, designed to meet highest efficiency and power density. Read More
Solution	Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent. Dashboards: dashboards and reports that provide real-time insights into equipment health and performance. Cloud-based architecture - A cloud-based architecture provides the flexibility to scale up or down as required. Advanced analytics: The ability to apply advanced analytics techniques, such as machine learning, to the vibration data can provide deeper insights into equipment performance and health. Read More Log in to view content
Data Collected	Asset Condition, Asset Performance, Asset Status Tracking, Device Diagnostic Status, Motor Metrics Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Agriculture

Equipment & Machinery

Utilities

Applicable Functions

Discrete Manufacturing

Facility Management

Field Services

Maintenance

Process Manufacturing

Use Cases

Advanced Metering Infrastructure (AMI)

Asset Health Management (AHM)

Asset Lifecycle Management

Machine Condition Monitoring

Services

Cloud Planning, Design & Implementation Services

Software Design & Engineering Services

System Integration

Challenge

captures vibration & other environmental data in real time through sensors installed on various components of industrial equipment like Turbines, pumps
generates insights to help predict downtimes and thereby enable customer to maintain systems health & equipment efficiency.
processes the high volume, high frequency data to monitor, analyze & alert about machine condition.

About Customer

Customer is is an Indian motor company with expertise in manufacturing & design of customized electric motors and drives. Focused around Industrial automation, Energy saving & Pumping, they takes focused interest in technological innovations in electromagnetic mobility. Customer lays the foundations for an intelligent of smarter, reliable, and emission-free mobility, which is based on intramural technology. Customer offers powertrain solutions from 2Wheelers, 3 Wheelers, 4 Wheelers, buses and off road vehicles, designed to meet highest efficiency and power density.

Solution

Automated data collection: The ability to automatically collect data from multiple sensors and equipment and ensures that data is accurate and consistent.
Dashboards: dashboards and reports that provide real-time insights into equipment health and performance. Cloud-based architecture - A cloud-based architecture provides the flexibility to scale up or down as required.
Advanced analytics: The ability to apply advanced analytics techniques, such as machine learning, to the vibration data can provide deeper insights into equipment performance and health.

Log in to view content

Data Collected

Asset Condition, Asset Performance, Asset Status Tracking, Device Diagnostic Status, Motor Metrics

Log in to view content

Contents

Overview

Condition monitoring for industrial motors