Petasense Case Studies Continuous condition monitoring pays off at a large power utility

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	Continuous condition monitoring pays off at a large power utility Petasense

Continuous condition monitoring pays off at a large power utility

Petasense

Technology Category	Analytics & Modeling - Predictive Analytics Functional Applications - Enterprise Asset Management Systems (EAM) Networks & Connectivity - WiFi Sensors - Temperature Sensors Sensors - Vibration Sensors
Applicable Industries	Utilities
Applicable Functions	Maintenance
Use Cases	Predictive Maintenance
Challenge	A large power utility in Hawaii was looking for more frequent condition monitoring on their Balance of Plant (BOP) generation assets. They had experienced significant equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes. Read More
About Customer	A large power utility in Hawaii. The company operates several combined cycle natural gas-fired power plants. Read More
Customer Name	Undisclosed Read More
Solution	They decided to trial Petasense technology on 8-10 assets, including a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps and auxiliary cooling water pumps, and half-a-dozen forced draft fans. They installed twenty triaxial battery powered vibration sensors (Motes) on these machines, as well as WiFi connectivity. Installation was completed in a day and they began tracking vibration using the web-based ARO Cloud software. The technicians and the reliability engineers also downloaded an iOS app to access the asset data anywhere, anytime. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Functional Applications - Enterprise Asset Management Systems (EAM)

Networks & Connectivity - WiFi

Sensors - Temperature Sensors

Sensors - Vibration Sensors

Applicable Industries

Utilities

Applicable Functions

Maintenance

Use Cases

Predictive Maintenance

Challenge

A large power utility in Hawaii was looking for more frequent condition monitoring on their Balance of Plant (BOP) generation assets. They had experienced significant equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes.

About Customer

A large power utility in Hawaii. The company operates several combined cycle natural gas-fired power plants.

Customer Name

Undisclosed

Solution

They decided to trial Petasense technology on 8-10 assets, including a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps and auxiliary cooling water pumps, and half-a-dozen forced draft fans. They installed twenty triaxial battery powered vibration sensors (Motes) on these machines, as well as WiFi connectivity. Installation was completed in a day and they began tracking vibration using the web-based ARO Cloud software. The technicians and the reliability engineers also downloaded an iOS app to access the asset data anywhere, anytime.

Impact #1	[Process Optimization - Predictive Maintenance] Defects can quickly be detected.
Impact #2	[Data Management - Data Availability] Sensors data helps to analyze the root cause of defects.

Impact #1

[Process Optimization - Predictive Maintenance]

Defects can quickly be detected.

Impact #2

[Data Management - Data Availability]

Sensors data helps to analyze the root cause of defects.

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Overview

Continuous condition monitoring pays off at a large power utility

Operational Impact