Case Studies Power Analytics for Power Plant

	Power Analytics for Power Plant

Power Analytics for Power Plant

Technology Category	Analytics & Modeling - Predictive Analytics
Applicable Industries	Utilities
Applicable Functions	Maintenance
Use Cases	Machine Condition Monitoring
Challenge	Given low power prices maintained by stagnant demand growth, a customer’s combined cycle power plant was staffed as leanly as possible. As such, a change in operational parameters went unnoticed by engineers at the plant. Read More
About Customer	A Power & Utility Generation Company Read More
Customer Name	undisclosed Read More
Solution	Monitoring hundreds of sensors per turbine on a daily basis, GE’s Asset Performance Management detected the change in operational parameters and generated daily reports revealing the specifics of this irregularity. In turn, GE’s IPRC engineers drew upon their depth of experience with Power analytics to acknowledge the severity of the increased spread and proactively notified the customer of this issue before it triggered equipment failure. As the spread increased, GE’s IPRC engineers recommended, during a weekly status update call, that the customer perform an inspection to determine the root cause of the increased spread. The inspection uncovered a defect in the equipment, so the customer planned downtime during which they replaced the faulty piece. Upon replacement, the operational parameter returned to model-predicted values. Read More Log in to view content
Data Collected	Equipment Status, Operation Performance, Overall Equipment Effectiveness, Process Parameters Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Applicable Industries

Utilities

Applicable Functions

Maintenance

Use Cases

Machine Condition Monitoring

Challenge

Given low power prices maintained by stagnant demand growth, a customer’s combined cycle power plant was staffed as leanly as possible. As such, a change in operational parameters went unnoticed by engineers at the plant.

About Customer

A Power & Utility Generation Company

Customer Name

undisclosed

Solution

Monitoring hundreds of sensors per turbine on a daily basis, GE’s Asset Performance Management detected the change in operational parameters and generated daily reports revealing the specifics of this irregularity. In turn, GE’s IPRC engineers drew upon their depth of experience with Power analytics to acknowledge the severity of the increased spread and proactively notified the customer of this issue before it triggered equipment failure. As the spread increased, GE’s IPRC engineers recommended, during a weekly status update call, that the customer perform an inspection to determine the root cause of the increased spread. The inspection uncovered a defect in the equipment, so the customer planned downtime during which they replaced the faulty piece. Upon replacement, the operational parameter returned to model-predicted values.

Data Collected

Equipment Status, Operation Performance, Overall Equipment Effectiveness, Process Parameters

Impact #1	[Process Optimization - Predictive Maintenance] Given GE IPRC’s inspection recommendation and the customer’s ability to proactively plan downtime for maintenance, the customer was able to eliminate the risk of a component failure which would have triggered catastrophic failure.

Impact #1

[Process Optimization - Predictive Maintenance]
Given GE IPRC’s inspection recommendation and the customer’s ability to proactively plan downtime for maintenance, the customer was able to eliminate the risk of a component failure which would have triggered catastrophic failure.

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Overview

Power Analytics for Power Plant

Operational Impact