Implementing Predictive-Based Maintenance to Improve System - - PowerPoint PPT Presentation

Implementing Predictive-Based Maintenance

to Improve System Performance, Reliability, Cost, Safety, and Customer Experience

August 2015: NEETRAC, NRECA Agree

• Aging equipment, higher expectations for reliability, and cost constraints on the rise
• NRECA’s CRN: “High level of interest in prioritization of asset management”
• Effectiveness of current maintenance programs in doubt

October 2015: T&D World

The impact of replacing equipment BEFORE the outage

Intelligence for Smarter Investments & Improved Reliability

What would it mean to your Utility and Members if you could:

Enable PdM across the distribution system:

Employ a proactive asset risk management strategy

• Preventive vs. Conditions-based approach

Optimize maintenance operations

• Understand exactly where your risks are across the system
• Efficiently target and plan maintenance strategies
• Minimize cost of run-to-failure operations to predictive processes

Significantly improve cost - reliability/system performance

• Achieve 20%-40% improvement in EQ-Related SAIDI
• Do so by only addressing 10% - 20% of overhead miles
• Do so at about $1 per meter

Optimize budget/planning cycles

• Potentially defer/re-prioritize capital projects

Objective

• Two technologies & proprietary analysis capture and assess problematic conditions
• PD & EMI are the primary characteristic of equipment degradation, contamination, &

failure

Repeatable

• Assessments are not load dependent
• Assessments are not impacted by ambient environmental conditions

Trendable

• Repeatable assessments will enable trend analysis of system performance

Scalable

• Cover large territories and receive results in 4-7 weeks

Actionable

• Identify 1 component every 8 to 12 miles
• Assign Criticality Measure
• Single-source data can be used to deliver multiple benefits

Advantages of a PdM Process Framework

Exacter Enables PdM Strategies for Utility Operations & Asset Management

A reliability strategy that assesses the condition of equipment while in service to determine the appropriate maintenance operation to avoid interruption or equipment failure.

1) Proactive

– Transition from reactive restoration

2) Targeted

– Assess where Equipment related issues occur – Critical Infrastructure (serves the greatest # of customers) – 1 component every 8 –12 miles

3) Measurable

– Pre-assessment: Identify opportunity for improvement – Assessment: Validate opportunity for improvement – Post-Assessment: Track progress towards achieving goals

Cost effectively improve performance & reliability

RF Emissions are Leading Indicators of Risk

Capturing these asset health measures enable proactive maintenance

3) Field Report & Criticality Measure

Engineers produce field report with assessment findings:

• Integrates with OMS

& WMS (.CSV)

• Available in GIS

formats With utility provided GIS & Connectivity data:

• Show how many

customers would be impacted if equipment fails

• Prioritize

maintenance based

• n impact on

distribution system

1) Data Analysis / Project Proposal

With utility provided CMI data:

• Historical trend

analysis to identify system performance “baseline”

• Identify where

equipment related

• utages occur on

distribution

• verhead
• Provide optimized

project recommendations for greatest system improvement

2) Exacter Technology

Patented Exacter RF technology scan

• Captures PD/EMI
• Real time analysis

Proprietary Analytics

• Identify structure

location with degraded component Ultrasonic Technology

• Engineers visit

structures and confirm degraded component

4) Metrics & Benefits

Exacter will work with utility to define metrics for success Metrics 1) OH EQ CMI of assessed circuits 2) Assessed circuits v. non-assessed 3) EQ CMI v. System CMI Benefits 1)

• Avg. Annual EQ

CMI Reduction 2)

• Avg. Annual EQ

SAIDI Reduction 3) EQ CMI v. System CMI

Predictive Process

The “New Normal” – using Predictive Maintenance

Experiencing the “new normal”

Eastern Utility

Recent projects/successes

Thank You

Asset Health Assessment - Deliverable Example

Asset Health Assessment – Deliverable Example

§ Based in Columbus, OH § NRTC Partnership in May 2015 § Focus on Predictive-Based Maintenance § Proven customer success § Vetted technology § 5 US Patents, 7 Int’l Patents § 3rd Party Validation – U.S. Dept. of Energy (DOE)

– Nat’l Elec. Testing Lab (NETL) – The Ohio State University

True Grid Condition Assessment for Improved System Resiliency and Reliability

Using Asset Health Analytics for Asset Management and Operations

Improve system performance & resiliency Reduce CMI, SAIDI, SAIFI & other related performance indices

• Reduce the duration of equipment related outages
• Reduce the frequency of equipment related outages

Pre/post storm impact assessments: restoration vs repairs Identify evolving trends in equipment, root cause issues over time: “root-out” targeted equipment Identify any potential safety concerns PRIOR to sending crews to do work: eg. porcelain cut-outs Transition from reactive outage restoration to predictive-based maintenance for overhead equipment

• Reduce costs associated with reactive operations due to equipment failure