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Predictive Maintenance IoT Solutions

Savannah Cuthbert in Blogs on November 03, 2021

About Savannah Cuthbert

Savannah Cuthbert is part of the Digital Marketing team at Symmetry Electronics. She has a Bachelor’s in Marketing from California State University, San Marcos and specializes in content strategy, copywriting, and social media planning. Using a focused approach, Savannah leverages her broad marketing experience to develop articles that showcase unique industry insights.
Predictive-Maintenance-IoT-Solutions

Commonly used in industrial IoT (IIoT) applications, predictive maintenance is a proactive maintenance strategy instilled to prolong the life of equipment while avoiding system failures. Through the combination of IoT sensors, data collection and analysis, and machine learning, assets can be effectively monitored both remotely and in real-time.

Condition-Based Maintenance vs. Predictive Maintenance vs. Prescriptive Maintenance

Unlike condition-based maintenance that only acts when an anomaly is identified–predictive maintenance takes asset monitoring a step further by utilizing algorithms to predict the optimal time of maintenance while determining resolutions in the event of a failure. An even more complex maintenance strategy is prescriptive maintenance. This system leverages AI to detect anomalies even earlier, all while interpreting data to make smart decisions working to prolong the life of industrial equipment.

Three Common Predictive Maintenance Methods

Working in conjunction with IoT sensors is a computerized maintenance management system (CMMS). A CMMS stores equipment data analytics and facilitates maintenance procedures. Whether it is for agriculture, manufacturing, or construction–IIoT applications vary in the sensor data that is required to ensure long-term performance. The following are three common types of predictive maintenance approaches:

  1. Vibrational Analysis
  2. Thermographic Analysis / Infrared Analysis
  3. Acoustical Analysis (Sonic & Ultrasonic)

Predictive Maintenance IoT Sensor Solutions

According to Market Research Future’s Predictive Maintenance Market Research Report, the global predictive maintenance market is expected to grow to 23B by 2025. Symmetry Electronics offers a broad portfolio of IoT sensors and Applications Engineers that can help determine optimal solutions for diverse predictive maintenance use cases. Having predictive maintenance measures in place can prolong the life of equipment, all while reducing repair and labor costs.

 

Seeking technical and design support for your next project? Contact Symmetry Electronics to get started.

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Savannah Cuthbert in Blogs on November 03, 2021

About Savannah Cuthbert

Savannah Cuthbert is part of the Digital Marketing team at Symmetry Electronics. She has a Bachelor’s in Marketing from California State University, San Marcos and specializes in content strategy, copywriting, and social media planning. Using a focused approach, Savannah leverages her broad marketing experience to develop articles that showcase unique industry insights.

Why partner with Symmetry Electronics? Symmetry's technical staff is specially trained by our suppliers to provide a comprehensive level of technical support. Our in-house Applications Engineers provide free design services to help customers early in the design cycle, providing solutions to save them time, money and frustration. Contact Symmetry for more information.

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