C3 IoT Case Studies Enterprise AI for Predicting HVAC Chiller Failures

	Enterprise AI for Predicting HVAC Chiller Failures C3 IoT

Enterprise AI for Predicting HVAC Chiller Failures

C3 IoT

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Equipment & Machinery
Use Cases	Predictive Quality Analytics
Services	Data Science Services
Challenge	Load and cluster sensor data for use in a predictive model Train a machine learning model to predict chiller failure Demonstrate speed of development and deployment by completing project in < 1 week Read More
About Customer	Global equipment manufacturer and services company 100,000 employees $30 billion in revenue Read More
Customer Name	Not Disclosed Read More
Solution	Configured C3 AI Reliability in 4 days Loaded 3 years of sensor data for 165 HVAC chillers (40-50 sensor feeds per chiller) Developed 163 analytics as inputs for failure prediction algorithm Trained and tuned a machine learning model to predict chiller failures with 73% precision and 71% recall Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Equipment & Machinery

Use Cases

Predictive Quality Analytics

Services

Data Science Services

Challenge

Load and cluster sensor data for use in a predictive model
Train a machine learning model to predict chiller failure
Demonstrate speed of development and deployment by completing project in < 1 week

About Customer

Global equipment manufacturer and services company
100,000 employees
$30 billion in revenue

Customer Name

Not Disclosed

Solution

Configured C3 AI Reliability in 4 days
Loaded 3 years of sensor data for 165 HVAC chillers (40-50 sensor feeds per chiller)
Developed 163 analytics as inputs for failure prediction algorithm
Trained and tuned a machine learning model to predict chiller failures with 73% precision and 71% recall

Impact #1	[Data Management - Data Analysis] The manufacturer deployed C3 AI Reliability for 165 of its chillers to address the objectives. The customer selected C3 AI for its proven ability to rapidly integrate sensor data, normalize and cluster disparate readings, and run machine learning algorithms to identify deteriorating conditions before failures occur.

Impact #1

[Data Management - Data Analysis]

The manufacturer deployed C3 AI Reliability for 165 of its chillers to address the objectives. The customer selected C3 AI for its proven ability to rapidly integrate sensor data, normalize and cluster disparate readings, and run machine learning algorithms to identify deteriorating conditions before failures occur.

Benefit #1	$178M annual benefit identified. 73% model precision. 71% model recall
Benefit #2	In 4 days, C3 AI and the customer loaded, normalized, and mapped 3 years of sensor data for all 165 chillers, created custom analytics on these data, and configured a machine learning algorithm to predict chiller failure events

Benefit #1

$178M annual benefit identified. 73% model precision. 71% model recall

Benefit #2

In 4 days, C3 AI and the customer loaded, normalized, and mapped 3 years of sensor data for all 165 chillers, created custom analytics on these data, and configured a machine learning algorithm to predict chiller failure events

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Overview

Enterprise AI for Predicting HVAC Chiller Failures

Operational Impact

Quantitative Benefit