Condition Monitoring Systems

36
Increase System Efficiency with Condition Monitoring Embedded Control and Monitoring Summit National Instruments

Transcript of Condition Monitoring Systems

Page 1: Condition Monitoring Systems

Increase System Efficiency with Condition Monitoring

Embedded Control and Monitoring Summit

National Instruments

Page 2: Condition Monitoring Systems

Impeller – Contact with casing and diffuser vanes

Bent Diffuser Vanes

Bending failure of gear teeth- seized rotor

Motivation of Condition Monitoring

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The many Sources of machinery vibration

Each has a unique signature which can be learned using a simulator.

Source: “Machinery Noise and Diagnostics by Richard H. Lyon

Sources of Mechanical Failure

Types of Machine Failures

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What is Condition Monitoring

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What is Condition Monitoring Preventative Maintenance

Predictive Maintenance

Run to-Failure

Machine Health

Time

Acceptable Operating Zone

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Machine Availability

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Why Condition Monitoring? • Increase customer confidence

• Increase production output

• Reduce scrap and raw material use

• Increase product quality

• Reduce repair time and spare parts

• Lengthen maintenance cycle

• Stop unscheduled outages

• Optimize machine performance

• Prevent catastrophic failure

• Avoid injury, environmental harm Safety

Production Assurance

Reduce Costs

Quality Control

Increase Revenue

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Time

Conditions

start to

change

Vibrations

Noise

Heat

Smoke

Emergency

stop

3 month

2 weeks 2 days

10 min

Ma

ch

ine

co

nd

itio

n

Credit F’IS

What to Monitor and Test

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What to Measure

Vibration

Strain

Electrical Power

Temperature

Location (GPS)

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Condition Monitoring Signal Sources

Vibration

Electrical Power

Strain

Temperature

Acoustic Emissions

Imbalance Vibration

Fluid Analysis

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Basic Fault Frequency Analysis

0.0

001

0.0

01

0.0

1

misalignment

unbalance

bearing frequencies

Frequency (Hz)

100 1000 10000 100000

Velo

cit

y (

ips

)

gear mesh frequencies

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1k 2k 3k 4k 5k Frequency

Order Analysis

• Resample frequency information to order information

1 2 3 4 5 Order

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Order Analysis

1x 1x

2x

1x

GM 1x 2x

3x 4x

Imbalance Misalignment

Looseness Gear Wear

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Additional Signal Processing

– Waterfall

– Colormap

– Orbit Plot

– Shaft Centerline

– Envelope Analysis

– Limit Masks

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Types of Monitoring Today

Handheld, $100

Portable, $90

Online, $260

Protection, $400

Test, $50

Market Size (In Millions $)

Source: Frost and Sullivan Market Survey

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Wireless Sensor Nodes

• Wirelessly transmit basic analytics

• Low power permanent devices

• Low channel counts

• Only works for local distributions

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Portable

• More advanced analysis

• Larger channel counts

• Usually used with a laptop

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Online

• Embedded intelligence

• Limited signal processing

• 10’s of channels

• High fidelity data

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Protection

• Triggers machine shutdown

• Safety certifications required

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Challenges in the Application Today

• Data overload

• Remote locations

• Prognostics

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TDMS File Format

Read TDMS Files in Excel, Math Packages, C, etc.

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Remote Data Collection

• Assets are geographically distant

• Analysts spend too much time collecting

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Remote Data Collection

• Data acquisition – Vibration

– Temperature

– Strain

– Voltage

– 4-20 mA

• Onboard computer – decision based data

logging

• Onboard storage

• Communication – TCP/IP

– FTP

– Modbus

• Rugged casing

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Sensors

Signal Conditioning Data Acquisition

Communication Protocols

Onboard Analysis and File Recording

Remote Storage and Analysis

User Interface and Configuration

Embedded Condition Monitoring System

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Prognostics

Confidence Value

for performance degradation assessment

(CV ~ 0-1)

Health Map for potential issues and

pattern classification

Health Radar Chart

for multiple components degradation monitoring

Risk Radar Chart

to prioritize maintenance decision

0

0.2

0.4

0.6

0.8

1

0

0.2

0.4

0.6

0.8

1

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IMS Instrumentation Approach DATA ACQUISITION / SIGNAL PROCESSING

3 4 5 6 7 8 92

3

4

5

6

7

8

9

Feature 1

Featu

re 2

Baseline

Current Data

FEATURE EXTRACTION & SELECTION

HEALTH ASSESSMENT

CRITICAL ASSET

PERFORMANCE PREDICTION HEALTH VISUALIZATION

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Signal Processing & Feature Extraction

Stationary

Non-Stationary

Signal Processing &

Feature Extraction

Time Domain Analysis

Frequency Domain Analysis

Time-Frequency Analysis

Wavelet/Wavelet Packet Analysis

Principal Component Analysis (PCA)

CWT of time synchronous signal for gearbox with broken tooth (File 105)

Time (for 1 revolution)

scale

s a

1000 2000 3000 4000 5000 6000 7000 8000 1

5

9

13

17

21

25

29

33

37

41

45

49

53

57

61

Raw Vibrations

Time-synchronous Average

FFT + Envelope

Raw Vibrations

Wavelets

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Watchdog Agent™ Prognostics Toolkit for LabVIEW

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Sound and Vibration Measurement Suite

• Vibration Measurements

• Tachometer Analysis

• Signal Processing

• Visualization

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Sound and Vibration Measurement Suite

Optimized for Embedded

• Similar functionality

• Analysis only, no GUI

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NI CompactRIO Rugged Industrial Form Factor

Mixed Measurement

Types

Module Based Solution for Custom Systems

Onboard Signal Processing

Real-Time Computer and

Storage Open Communication Standards

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Measurement Modules

Thermocouples 4 to 20mA Time (GPS) RTD Resistance Power (Volts/Amps)

Accelerometer Strain Gauge Load Cells Digital I/O Microphone DC Voltage

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Online Monitoring of Nuclear Power Reactors

• Products: Sound and Vibration, LabVIEW, NI CompactRIO

• The Challenge: Developing an online monitoring (OLM) solution for boiling water reactors, which contain machinery in hazardous and difficult-to-access areas.

• The Solution: Using an integrated, embedded NI CompactRIO system to develop the EWV-1 and OLM-32 hardware to provide live, wireless monitoring of plant assets in conjunction with AMS’ monitoring software

Wireless

Receiver

Wireless

Repeater

Data Acquisition and

Analysis Workstation

Wireless

Transmitter

Wireless

Transmitter

Temperature SensorT

AccelerometerA

Speed SensorS

WRLSS059-2

Wired

Network

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Open Pit Mining Shovels

• Products: Sound and Vibration, LabVIEW, NI CompactRIO

• The Challenge: Developing a highly specialized continuous monitoring system for electromechanical mining shovels to enable a predictive maintenance strategy for these critical machines.

• The Solution: Creating a fully functional, tailor-made vibration and stress continuous monitoring system using the NI CompactRIO platform and NI LabVIEW software.

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Demonstration • Embedded Vibration Monitoring

Tachometer

X Accelerometer

Y Accelerometer

TCP/IP Communication

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Thank you for attending the NI Embedded Technology Summit

For more information, please visit www.ni.com/embeddedsystems