TIBCO Intelligent equipment

This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and availability dates for TIBCO products and services. It is for informational purposes only and its contents are subject to change without notice.

© Copyright 2000-2016 TIBCO Software Inc. All rights reserved. TIBCO Confidential & Proprietary Information.

Michael O’Connell

Mic Hussey

Ujval Kamath

Intelligent Equipment Acceleratorhttps://community.tibco.com/modules/intelligent-equipment-accelerator



During the course of this presentation, TIBCO or its representatives may make forward-looking statements regarding future events, TIBCO’s future results or our future financial performance. Although we believe that the expectations reflected in the forward-looking statements contained in this presentation are reasonable, these expectations or any of the forward-looking statements could prove to be incorrect and actual results or financial performance could differ materially from those stated herein.

TIBCO could experience factors that could cause actual results or financial performance to differ materially from those contained in any forward-looking statement made in connection with this presentation. TIBCO does not undertake to update any forward-looking statements that may be made from time to time or on its behalf.

SAFE HARBOR DISCLOSURE







This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and availability dates for TIBCO products and services. This document is provided for informational purposes only and its contents are subject to change without notice. TIBCO makes no warranties, express or implied, in or relating to this document or any information in it, including, without limitation, that this document, or any information in it, is error-free or meets any conditions of merchantability or fitness for a particular purpose. This document may not be reproduced or transmitted in any form or by any means without our prior written permission.

The material provided is for informational purposes only, and should not be relied on in making a purchasing decision. The information is not a commitment, promise or legal obligation to deliver any material, code, or functionality. The development, release, and timing of any features or functionality described for our products remains at our sole discretion.

During the course of this presentation TIBCO or its representatives may make forward-looking statements regarding future events, TIBCO’s future results or our future financial performance. These statements are based on management’s current expectations. Although we believe that the expectations reflected in the forward-looking statements contained in this presentation are reasonable, these expectations or any of the forward-looking statements could prove to be incorrect and actual results or financial performance could differ materially from those stated herein. TIBCO does not undertake to update any forward-looking statement that may be made from time to time or on its behalf.

DISCLAIMER







The following information is proprietary information of TIBCO Software Inc. Use, duplication, transmission, or republication for any purpose without the prior written consent of TIBCO is expressly prohibited.







• Reactive – Run to failure

• Preventive – Scheduled service (reliability)

• Condition-based – Monitor condition (sensors)

• Predictive – Predict failures

• Proactive – Root cause analysis

Evolution of Equipment Maintenance Strategies





Maintainingconsumerproductsandindustrialequipment inthefield…

…andonthefactoryfloor

• Value• Avoid unplanned downtime• Reduce maintenance costs• Rank suppliers• Minimize warranty costs

• Maintenance Analytics• Compare strategy costs• Reliability (failure) analysis• Sensor analytics and anomaly detection• Root cause analysis• Warranty analytics

Maintenance Analytics





Maintenance Analytics – Reliability

Reliability Analytics (Preventive)

• Failure analysis

• Expected lifetime

• Optimal maintenance

Sensor Analytics (Condition-Based)

• Real-time process monitoring

• Problem detection and notification

• Predictive maintenance

• Root cause analysisTime in Service

Burn In

Useful Life

Wear and Tear





Maintenance Analytics – Sensors

Reliability Analytics (Preventive)

• Failure analysis

• Expected lifetime

• Optimal maintenance

Sensor Analytics (Condition Based)

• Real-time process monitoring

• Problem detection and notification

• Predictive maintenance

• Root cause analysis




© Copyright 2000-2016 TIBCO Software Inc. All rights reserved. TIBCO Confidential & Proprietary Information. 9

Customer Case Studies





Semiconductor and Electronic Component Yield

Business Problem• Maximize product yield

• Big data problem

• Response: Product fail class

• Predictors: Product measures, sensors

TIBCO Solution• Build models to predict yield

• Machine learning template

• Simple interface

• Deploy predictive yield models

Results• Find previously undetected yield problems

• Reduce time-to-market and increase profit Machine learning results for semiconductor yield as a function of in-process sensor measurements





Solar Cell Manufacturing

Business Problem• Solar cell manufacturer – 600K wafers / day

• Immediately troubleshoot process when producing bad product

TIBCO Solution• Real-time monitoring of equipment and product critical metrics

• Alert when metrics move beyond limits (temperature, pressure, resistivity)

• Root cause analysis to improve process

Results• Improved solar cell efficiencies

• Reduce equipment downtime

• Cause analysis of ‘hot spots’





Consumer Product Manufacturing Line

Business Problem• Fortune 100 consumer product company

• Reduce manufacturing line stoppages

TIBCO Solution• Predict equipment failure and product quality

• Factory equipment sensor + line stoppage + product defect data

• In-Hadoop big data modeling

Results• Predict future line stoppages

• 50% reduction in defects

• More predictable demand for supplies

• Empowered analysts to focus on problem-solving





Automotive Warranty Early Warning System

Business Problem• Major automotive manufacturer

• Costs of producing unreliable product

TIBCO Solution• Rapidly detect and respond to warranty problems

• For every component: Model fail rate

• Use model to predict field fail rates

• Alert when field fail rates exceed predictions

Model: Fail rate = f(production date, days in service, etc)

Control Chart showing actual and predicted fail rates

for a component





Oil & Gas Production

Business Problem• Electric submersible pump failure and breakdown

• ~3000 wells

• Additional revenue $40+M/year

TIBCO Solution• Predict equipment failure to avoid downtime (NPT) and loss of production

• Build pump failure models

• Deploy models and rules real-time

• Produce automated notifications and alerts

• Dashboards, e-mail, mobile devices, drill-downs to root cause analysis

• Continuously monitor and refine

Oil Field Electric Submersible Pump





Refinery – Preventive Maintenance

Business Problem• Identify equipment with high failure rates

• Determine expected lifetimes

• Determine optimal maintenance interval

TIBCO Solution• Model fraction failing vs. time in service

• Determine optimal maintenance interval

Equipment with high failure rates

Failure Analytics

Optimal Maintenance Interval



Intelligent Equipment Acceleratorhttps://community.tibco.com/modules/intelligent-equipment-accelerator



Introducing TIBCO Accelerators



Business solutions. NOW.The industry-leading Fast Data

platform, and tools to build your own custom apps

TIBCO’s leading technology…

…add fast-start accelerators…

…provides what digital businesses need now

Fast Data Platform TIBCO® Accelerators Digital Solutions



TIBCO Accelerators: A Fast Path to Innovation

Free and community-driven

The most innovative TIBCO® Community use cases

Baked-in best practices

Fully customizable

Enterprise class



Motivation for Industrial Equipment Accelerator

• Analytics requires good data (GIGO)

• Projects spend a lot of wall clock time in data acquisition

• TIBCO StreamBase® is ideally suited as an integration platform for this time series data

• Highly performant• Data is normally naturally ordered• Easy to implement windowing algorithms• OOTB integration to PI, DBs and messaging systems• Wizards for generating new adapters





The Intelligent Equipment Accelerator At-a-Glance

1. StreamBase®: Streaming Analytics, IoTStreamBase models for IoT data capture from sensors, filtering and cleaning of data, and communication with time-series databases and sensor networks.

2. TIBCO® Live Datamart: Operational Analytics, UI, Alerts

Configure mapping of individual sensors to the model of the world, visualize analytics and rules, control to act on critical business moments. Provided as open source HTML5 / JavaScript code.

3. TIBCO® Live Datamart/StreamBase: Metadata driven data discovery

Add new sensors to the analytics flow via Web UI. Assemble groups of sensors into snapshots for analysis by configuration.

4. TIBCO Spotfire®: Sensor Data AnalyticsIdentify thresholds and feed back to streaming analytics.

The Industrial Equipment Accelerator (AMIEA) is a TIBCO® engineered, open-source fast-start for systems that integrate sensor data and business analytics.

FUNCTIONAL COMPONENTS





Architecture Overview – Where does it fit?

Streaming Analytics

Continuous Predictive

Maintenance

Risk Management TIBCO Live Datamart

Integration

Geo-aware analytics

Facility ManagementAlert Targeting

TIBCO® Enterprise Runtime for R (TERR), PMML, StreamBase, TIBCO BusinessEvents®

Digital Operations

TIBCO LiveView

Analytics

Spotfire®

ALERTSCase Management

Mobile

Weather

TIB

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rix

Bus

ines

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ks™

, TI

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nter

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essa

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, TI

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Mas

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®,

TIB

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eF

TL™

TIBCO® BPM

Data Scientists

Digital Operations

(e.g., Drilling Operations)

OSI PI

Engineering Documents

Financial

WITSML

In-Memory Data Grid

TIBCO OpenSpirit®

MDM

Cloud Foundry

Industrial Equipment Monitoring





Logical Architecture





Data Model – Enrichment

Data Enrichment• Industrial equipment has 1000s of sensors• They need to be grouped into hierarchies for

analysis• Detect un-matched data readings• Dynamically add device relationships

Check sensor data for device

grouping





Data Model – Check Data

Data Checker(Transmission

Health)

• Interface to check the validity of sensor data• Check for range• Check for staleness• Implement interface to add further data

checks in-lineCheck status of inbound data.

Mark PASS/FAIL.





Data Model – Generate Statistics

Statistics(Entity

Featurization)

• Assembles data across multiple time windows• Choose statistical calculations• Aggregate results• Extendable (add more window and statistic

types)

Decide which statistics to

generate (e.g. slope)

Generate time windows (e.g.

5s, 2hr, 1d)





Intelligent Equipment Accelerator - Condition Detection

Condition Detection• Failure patterns discovered using Spotfire• Project implements detection logic in TIBCO

StreamBase EventFlow™• Detect anomalies in the sensor data in real

time





Intelligent Equipment Accelerator - Condition Detection

Alert Notification• Generate alerts based on the real-time data

flow• Send alerts (Email link to Spotfire dxp/alert on

screen/send event to downstream system)• Alerts generated by TIBCO Live Datamart



Demonstration



Demo: Electric Submersible Pump using IEA

• CSV file with readings of pressure or motor amps for 28 pumps at roughly hourly intervals

• Wrapper project which integrates input data with IEA_Main

• IEA config for 28 pumps each with 3 sensors (pressure, motorAmps and pressure_slope).

• Thresholds checked for by IEA:• Pressure > 650 kPa

• Motor amps < 15 A• Pressure slope > 25 kPa/hr

• Custom TIBCO Live Datamart Web GUI and integration with it in Wrapper





Accelerators on the TIBCO Community Exchange

https://community.tibco.com/modules/connected-vehicles-acceleratorhttps://community.tibco.com/wiki/connected-vehicles-accelerator

https://community.tibco.com/wiki/accelerators

https://community.tibco.com/modules/intelligent-equipment-acceleratorhttps://community.tibco.com/wiki/intelligent-equipment-accelerator

https://community.tibco.com/modules/accelerator-apache-sparkhttps://community.tibco.com/wiki/accelerator-apache-spark

https://community.tibco.com/modules/fx-dealing-acceleratorhttps://community.tibco.com/wiki/fx-dealing-accelerator



Intelligent Equipment – Equipment on Watch



Intelligent Equipment – Equipment with Anomaly



Intelligent Equipment – Equipment Navigation



Intelligent Equipment – Equipment with Anomaly



Intelligent Equipment – Equipment with No Issues



Industrial Equipment Surveillance



Thank you!

Michael O’Connell, PhDChief Analytics OfficerTIBCO [email protected]@MichOConnellhttp://about.me/moconnell+1-919-7401560

Contact Information

TIBCO Intelligent equipment

Technology

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