Suppliers United States Microchip Technology
SUPPLIER MANAGED
Microchip Technology Logo

Microchip Technology

Smart Connected Secure
United States
1989
Private
$1-10b
10,001 - 50,000
Open website

Microchip Technology Inc. is a leading provider of microcontroller, mixed-signal, analog and Flash-IP solutions, providing low-risk product development, lower total system cost and faster time to market for thousands of diverse customer applications worldwide.

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Microchip Technology is a provider of Industrial IoT analytics and modeling, cybersecurity and privacy, networks and connectivity, processors and edge intelligence, and sensors technologies, and also active in the aerospace, automotive, electronics, national security and defense, security and public safety, and semiconductors industries.
Technologies
Networks & Connectivity
Ethernet
LoRa
WiFi
Processors & Edge Intelligence
Embedded Operating Systems
Microcontrollers & Printed Circuit Boards
Cybersecurity & Privacy
Endpoint Security
Identity & Authentication Management
Sensors
Temperature Sensors
Analytics & Modeling
Predictive Analytics
Use Cases
Advanced Metering Infrastructure (AMI)
Predictive Maintenance
Smart Lighting
Vehicle Telematics
Functions
Maintenance
Industries
Aerospace
Automotive
Electronics
National Security & Defense
Security & Public Safety
Semiconductors
Services
System Integration
Microchip Technology’s Technology Stack maps Microchip Technology’s participation in the analytics and modeling, cybersecurity and privacy, networks and connectivity, processors and edge intelligence, and sensors IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies1
Predictive Maintenance for Industry 4.0
Industrial robotic systems see increasing levels of vibration on their mechanical elements which often indicates the need for service. Factory operations personnel need to find a way to increase their awareness of vibration and use AI/ML analytics to interpret the data and address the issue in a timely manner. This is a fairly standard interpretation of predictive maintenance that many Industry 4.0 advocates aspire to.In the past, service schedules were accommodated using a paper log file, and the intervals between were often decided arbitrarily by a supervisor based on their experience and feel for the operation. As robotic systems in modern manufacturing become more complex, factory managers need to be aware of their maintenance requirements in real-time and be on top of both routine and critical service scheduling in order to avoid an interruption in service.
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