The Road Ahead of IoT – ADI Perspective by Howard Cheng, Analog Devices at IoTNext 2016

1. HOWARD CHENG
VICE PRESIDENT ASIA PACIFIC
ANALOG DEVICES
The Road Ahead of IoT
– ADI Perspective
50 Years of Leading Measurement and
Interpretation
Transforming industries with our
customers
► www.analog.com/IoT

2. Ahead of What’s Possible®: The Foundation of Success in IoT
©2016 Analog Devices, Inc. All rights reserved.
Partnering with Customers
Going Beyond Silicon
Innovating with Impact
We are solving the toughest problems in IoT
not only with our expertise and leadership in
real world signal processing but also by
working closely with customers and
leveraging algorithms, platforms, software
and cloud computing.

3. 3
ADI Well-Positioned for Value Creation
Sensors,
Signal
Processing,
Power, MCU,
Connectivity
Algorithms,
Domain
Knowledge
Data History,
Data Analytics
Predictive
Analytics
Transformations Interpretations Connections Pattern
Recognition
Decisions
IOT
CLOUD
Gateway
DATA INFORMATION
KNOWLEDGE WISDOM
CONNECTMEASURE INTERPRETSENSE ANALYZE
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.

4. 4

5. The Connected World – Opportunities for IoT
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.3

6. ADI Shaping the Future of IoT
Smart Factory Smart Consumer
Smart Healthcare Smart City/Agriculture
Cloud Network
Security Analytics
Technologies Markets
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.5

7. Information Journey – Analytics
Data
Ingestion
Real-Time
Streaming
Analytics
Historical
Analytics
Actions
“Connected”
“Aware”
“Reactive”
Predictive
Analytics
Prescriptive
Analytics
“Predictive”
“Proactive”
IncreasingBusinessImpact
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.6

8. The Answer - Hardware as the Root of Trust
From the Sensors to the CloudLOWEST
SECUREFROMSENSORTOCLOUD
HIGHEST
SENSORS
CONVERTOR PROCESSING
ANALOG DIGITAL
POINT OF HIGHEST SECURITY
PROCESSING
END POINT
REQUIRES IDENTITY AND INTEGRITY
CLOUD
ANALOG
GATEWAYS
SERVERS
SERVERS
NODES
GATEWAYS
NODES
SENSOR
FOG
EDGE
DATA
SMART
SENSOR
CLUSTER
SMART
SENSOR
CLUSTER
CLOUD

9. Re-enforcing Intelligent Loops in Industrial Automation
Howard Cheng
© 1995 - 2016 Analog Devices, Inc. All Rights Reserved
Example of IoT Application
Smart Machine

10. Maintenance is just the “tip of the iceberg”
©2016 Analog Devices, Inc. All rights reserved.5
Motors consume 45% of all global
electricity
From a segment perspective
Industrial : 78% of all electrical energy used
in industrial systems
Building Technology : 43% of all electrical
energy used in commercial buildings and
37% in the home
A predictive maintenance system can be
shown to reduce energy consumption by
up to 14%
(US Department of Energy Office of
Industrial Technologies)

11. Smart Factory – Example of ADI Manufacturing Plant
► Overview
 8” CMOS, IPD, PROBE Cleanroom
 Heavy Cleanroom Plant (air filtering systems, power units etc)
 Precision Equipment (used to process the wafers)
 >50 Process Tool Types
 >300 Individual Tools of Every Vintage
 >20 Years Experience
 Well Developed Process, Equipment & Plant Control Structure
► Objectives
 To move from a traditional approach of Preventative & Reactive Mix
 To add Prediction to Maintenance Methodology
 To Reduce Scrap
 To Maintain & Improve Equipment Performance
 To use as an IoT Test bed to trial ADI sensors and technology
11
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.

12. Monitoring Plant Equipment
Imbalance
Turning moment
monitoring
Field ErrorAlignment ErrorComponent Resonance
Pump / Fan Gear Box Drive
Bearing ErrorGear Error
Signature Analysis Indicative of impending Fault based on Vibration Analysis
Warning based on
Coupling
Misalignment
Diagnosis
Beginning of
Roller Bearing Damage
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.9

13. The Need for Electrical Signature Analysis (ESA) in Smart Machines
13
Bearings
41%
Stator
37%
Rotor
10%
Other
12%
Problems in 3-Phase
Induction Motors
~47% of faults
are electrical
Source: Predictive Maintenance by Electrical Signature Analysis to Induction Motors, Bonaldi, et. al
Fault Types Analysis Methods
Opportunity for edge node processing
and cloud analytic differentiation and IP
generation
Electrical Signature Analysis (ESA) Methods
► Power Quality
► MCSA (Motor Current Signature Analysis)
► EPVA (Extended Parks Vector Approach)
► IPSA (Instantaneous Power Sig Analysis)
► Partial Discharge

14. More Modalities = More Context
14
Improper Contact
Pressure
Thermography
Acoustic

15. Summary of Machine Health Data Processing Modalities
Sensor Performance
ProcessingComplexity
CONDITION MONITORING
• Thresholds set by ISO-10816
DIAGNOSTIC
• Full data analysis, model development
• Can be done now with handheld instruments
• Pin point fault detail, limited RUL prediction
PROGNOSTIC
• Sophisticated processes, algorithms & know-how
• Can be implemented from a single vibration sensor
• Requires development of Machine models
As much sensor data as possible, Historian (EAM), Maintenance records
High quality XL data
Applied Domain Expertise
Machine size, RPM
High quality XL data
Machine Learning / AI
• S/W installed on the plant server or cloud
• Resolution improves with # of measurands
• Questionable link to quality of sensors
Plant
Server /
Historian
Local
processing
‘Cloud’
processing
15

16. IoT Evolving to More Intelligence at the Node
MEASURE
INTERPRET
SENSE
CONNECT ANALYZE &
PREDICT
INTERPRETSENSE CONNECT MEASURE
ANALYZE
• Intelligent “Smart” Sensing: node turns
data into information
o Lowers overall power consumption, lowers
latency, reduces bandwidth waste
o Enables move from reactive IoT 
predictive & real-time IoT
o Important in Smart Healthcare, Smart City,
and Smart Factory
• Data stays data: never generate
wisdom and knowledge at the node
o Power hungry and bandwidth
intensive to convert and send all data
TODAY
TOMORROW
Analog Devices Highly Confidential Information.
©2016 Analog Devices, Inc. All rights reserved.25

17. Thank You!
50 Years of Leading Measurement and
Interpretation
Transforming industries with our
customers