SmartLog Case Studies Predictive Maintenance for Industrial Chillers

	Predictive Maintenance for Industrial Chillers SmartLog

Predictive Maintenance for Industrial Chillers

SmartLog

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics Functional Applications - Enterprise Asset Management Systems (EAM) Networks & Connectivity - LoRa Sensors - Pressure Sensors Sensors - Temperature Sensors
Applicable Industries	Equipment & Machinery
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase. Read More
About Customer	Thanks to an asset performance health index on our dashboard, chiller manufacturers are constantly provided insight in the health of their assets. Failures can be predicted, manufacturers are directly alerted in case of problems so they can be resolved re Read More
Customer Name	Undisclosed Read More
Solution	A failing device not only results in downtime, but as well in faulty chiller components. Chiller connectivity however, guarantees process stability, process reliability and energy efficiency, since all parameters (pressure, temperature, current values…) are monitored and visualized on our dashboard. This way, we can make a prediction regarding the amount of days within the failure is likely to occur. Read More Log in to view content
Data Collected	Asset Performance, Downtime, Fridge Temperature, Pressure, Production Efficiency Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Functional Applications - Enterprise Asset Management Systems (EAM)

Networks & Connectivity - LoRa

Sensors - Pressure Sensors

Sensors - Temperature Sensors

Applicable Industries

Equipment & Machinery

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.

About Customer

Thanks to an asset performance health index on our dashboard, chiller manufacturers are constantly provided insight in the health of their assets. Failures can be predicted, manufacturers are directly alerted in case of problems so they can be resolved re

Customer Name

Undisclosed

Solution

A failing device not only results in downtime, but as well in faulty chiller components. Chiller connectivity however, guarantees process stability, process reliability and energy efficiency, since all parameters (pressure, temperature, current values…) are monitored and visualized on our dashboard. This way, we can make a prediction regarding the amount of days within the failure is likely to occur.

Data Collected

Asset Performance, Downtime, Fridge Temperature, Pressure, Production Efficiency

Impact #1	[Efficiency Improvement - Asset Utilization] Asset performance health index.
Impact #2	[Efficiency Improvement - Production Uptime] Failures can be predicted.
Impact #3	[Efficiency Improvement - Issue Response] Turnaround time for problem resolution will be reduced dramatically.

Impact #1

[Efficiency Improvement - Asset Utilization]
Asset performance health index.

Impact #2

[Efficiency Improvement - Production Uptime]
Failures can be predicted.

Impact #3

[Efficiency Improvement - Issue Response]
Turnaround time for problem resolution will be reduced dramatically.

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Overview

Predictive Maintenance for Industrial Chillers

Operational Impact