Petasense Case Studies Leveraging IoT for Condition Monitoring in a Large Power Utility

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	Leveraging IoT for Condition Monitoring in a Large Power Utility Petasense

Leveraging IoT for Condition Monitoring in a Large Power Utility

Petasense

Technology Category	Networks & Connectivity - WiFi Sensors - Vibration Sensors
Applicable Industries	Electrical Grids Glass
Applicable Functions	Maintenance
Use Cases	Asset Health Management (AHM) Predictive Maintenance
Challenge	A large power utility in Hawaii was grappling with the challenge of frequent equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes. The company, which operates several combined cycle natural gas fired power plants, was seeking a more efficient and reliable solution for condition monitoring on their Balance of Plant (BOP) generation assets. The assets included a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The main issue was that significant equipment failures were happening in the intervals between their scheduled condition monitoring, leading to unplanned downtime and operational inefficiencies. Read More
About Customer	The customer in this case study is a large power utility based in Hawaii. The company operates several combined cycle natural gas fired power plants and has a range of Balance of Plant (BOP) generation assets. These assets include a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The company was facing significant challenges with equipment failures occurring between their scheduled quarterly walkaround condition monitoring routes, leading to unplanned downtime and operational inefficiencies. Read More
Customer Name	Not disclosed Read More
Solution	The power utility decided to trial Petasense technology on 8-10 of their assets. They installed twenty triaxial battery powered vibration sensors (Motes) on these machines, along with WiFi connectivity. The installation was completed in a day, and they began tracking vibration using the web-based ARO Cloud software. The technicians and reliability engineers also downloaded an iOS app to access the asset data anywhere, anytime. This allowed them to monitor the health of their assets continuously and detect any abnormalities in real-time. When they detected abnormal peaks and gradually increasing vibration levels, they were able to quickly identify a defect and take corrective action. They also modified the monitoring frequency to once per hour to ensure that any changes in vibration would be detected promptly. Read More Log in to view content
Contents

Technology Category

Networks & Connectivity - WiFi

Sensors - Vibration Sensors

Applicable Industries

Electrical Grids

Glass

Applicable Functions

Maintenance

Use Cases

Asset Health Management (AHM)

Predictive Maintenance

Challenge

A large power utility in Hawaii was grappling with the challenge of frequent equipment failures that occurred between their scheduled quarterly walkaround condition monitoring routes. The company, which operates several combined cycle natural gas fired power plants, was seeking a more efficient and reliable solution for condition monitoring on their Balance of Plant (BOP) generation assets. The assets included a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The main issue was that significant equipment failures were happening in the intervals between their scheduled condition monitoring, leading to unplanned downtime and operational inefficiencies.

About Customer

The customer in this case study is a large power utility based in Hawaii. The company operates several combined cycle natural gas fired power plants and has a range of Balance of Plant (BOP) generation assets. These assets include a critical Boiler Feed Pump (BFP), motors, several condensate pumps, heat drip pumps, auxiliary cooling water pumps, and half-a-dozen forced draft fans. The company was facing significant challenges with equipment failures occurring between their scheduled quarterly walkaround condition monitoring routes, leading to unplanned downtime and operational inefficiencies.

Customer Name

Not disclosed

Solution

The power utility decided to trial Petasense technology on 8-10 of their assets. They installed twenty triaxial battery powered vibration sensors (Motes) on these machines, along with WiFi connectivity. The installation was completed in a day, and they began tracking vibration using the web-based ARO Cloud software. The technicians and reliability engineers also downloaded an iOS app to access the asset data anywhere, anytime. This allowed them to monitor the health of their assets continuously and detect any abnormalities in real-time. When they detected abnormal peaks and gradually increasing vibration levels, they were able to quickly identify a defect and take corrective action. They also modified the monitoring frequency to once per hour to ensure that any changes in vibration would be detected promptly.

Impact #1	The implementation of the Petasense technology and the continuous condition monitoring approach brought about significant operational improvements for the power utility. The reliability engineers were able to detect deteriorating Asset Health scores and increasing vibrations on the Boiler Feed Pump Motor within a few days of installation. This early detection allowed them to identify a defect quickly and take corrective action before it could lead to a failure. The technology also provided the engineers with peace of mind, knowing that they would be able to detect the earliest changes by monitoring every hour. The combination of the Asset Health score with the detailed vibration analysis capabilities demonstrated a quick Return on Investment from implementing wireless Predictive Maintenance for the customer.

Impact #1

The implementation of the Petasense technology and the continuous condition monitoring approach brought about significant operational improvements for the power utility. The reliability engineers were able to detect deteriorating Asset Health scores and increasing vibrations on the Boiler Feed Pump Motor within a few days of installation. This early detection allowed them to identify a defect quickly and take corrective action before it could lead to a failure. The technology also provided the engineers with peace of mind, knowing that they would be able to detect the earliest changes by monitoring every hour. The combination of the Asset Health score with the detailed vibration analysis capabilities demonstrated a quick Return on Investment from implementing wireless Predictive Maintenance for the customer.

Benefit #1	The installation of the Petasense technology was completed in a single day, significantly reducing the time required for setup.
Benefit #2	The monitoring frequency was increased to once per hour, ensuring that any changes in vibration would be detected promptly.
Benefit #3	The technology helped prevent unplanned downtime by detecting a defect in the Boiler Feed Pump Motor before it could lead to a failure.

Benefit #1

The installation of the Petasense technology was completed in a single day, significantly reducing the time required for setup.

Benefit #2

The monitoring frequency was increased to once per hour, ensuring that any changes in vibration would be detected promptly.

Benefit #3

The technology helped prevent unplanned downtime by detecting a defect in the Boiler Feed Pump Motor before it could lead to a failure.

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Overview

Leveraging IoT for Condition Monitoring in a Large Power Utility

Operational Impact

Quantitative Benefit