IBM Case Studies Acoustics Analytics in Manufacturing

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	Acoustics Analytics in Manufacturing IBM

Acoustics Analytics in Manufacturing

IBM

Technology Category	Analytics & Modeling - Process Analytics Sensors - Acoustic Sensors
Applicable Functions	Discrete Manufacturing Process Manufacturing Quality Assurance
Use Cases	Predictive Maintenance
Services	System Integration
Challenge	Maintenance of the production line is timely and costly. Knowing when to maintain an asset for peak performance is critical. Read More
Solution	With acoustic analytics, IBM can listen to equipment to detect faults quickly and recommend maintenance. This applies in many areas of equipment operation, from windmills, trains, lifts and elevators to major industrial machinery. Acoustics analytics “listens” to the factory equipment and devices and determines if there is a fault by detecting anomalies in the noise it “hears.” Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Process Analytics

Sensors - Acoustic Sensors

Applicable Functions

Discrete Manufacturing

Process Manufacturing

Quality Assurance

Use Cases

Predictive Maintenance

Services

System Integration

Challenge

Maintenance of the production line is timely and costly. Knowing when to maintain an asset for peak performance is critical.

Solution

With acoustic analytics, IBM can listen to equipment to detect faults quickly and recommend maintenance. This applies in many areas of equipment operation, from windmills, trains, lifts and elevators to major industrial machinery.

Acoustics analytics “listens” to the factory equipment and devices and determines if there is a fault by detecting anomalies in the noise it “hears.”

Impact #1	[Process Optimization - Real Time Monitoring] This cognitive acoustic IBM application is provided as a service on the Watson IoT Platform. Machine learning builds a knowledge base of sounds to detect anomalies. Combined with hardened mobile solutions, this allows the service’s capabilities to be used in the field at the shop floor level.

Impact #1

[Process Optimization - Real Time Monitoring]

This cognitive acoustic IBM application is provided as a service on the Watson IoT Platform. Machine learning builds a knowledge base of sounds to detect anomalies. Combined with hardened mobile solutions, this allows the service’s capabilities to be used in the field at the shop floor level.

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Overview

Acoustics Analytics in Manufacturing

Operational Impact