Agenda

TIME AGENDA  
09:00 Welcome Speech & Opening Remarks by Forum Producer
Enabling 100% Asset Reliability With Predictive Maintenance
09:15

How BHP Uses Predictive Maintenance To Ensure 100% Asset Reliability For 3,000 Machineries And 300 Haul Trucks

BHP Billiton has over 3,000 machines in its operations and spends US$3.5bn a year for plants and equipments maintenance. Following a predictive maintenance approach, they analyzed millions of data points from their equipments and developed algorithms to predict how a piece of equipment is likely to fail, and when to best schedule preventative maintenance work to minimise disruptions to production.  For its fleet of shovels, this led to improved reliability and reduced costs by a projected 20% across the remaining life of the fleet.
 BHP_RB_Logo
09:45 Case Study – Applying Deep Learning & Immersive Reality  In Pipeline/Site Inspection & Maintenance In Sydney Water
  • Use of VR & AI to provide immersive site experience
  • Using Gamification to explore hazards
  • Complete site induction onsite/offsite
  • Digitization of site induction recording
  • Increasing inspection time efficiency
 dammika-photo-112x128 Dammika
Asset Infrastructure Research Lead, Corporate Strategy
Sydney Water


_sydney water logo
10:15 Morning Refreshments & Networking Session
Robots For Field Service Inspection & Maintenance
10:30 Robots For Maintenance: The Use Of Intelligent Robots For Civil Infrastructure Maintenance, Inspection And Painting
This autonomous climbing robot (CROC) is used to inspect difficult to reach areas of the Harbour Bridge. Essentially it is designed as a robotic grit-blasting system to remove old paint, rust and debris from steel bridges and for condition assessment. This technology reduces the risks involved in as bridge inspections and improves the overall health and safety of workers. What are the robotic algorithms designed for its 3D map building, collision avoidance and control, and the related developed sensor package for sensing and material type identification.
 Dikai-Liu-112x128 Prof. Dikai Liu
Co-Director, Centre for Autonomous Systems
University of Technology Sydney

Leveraging The Power Of AI And Big Data Analytics To Predict Equipment Failure
11:00 How Digital Maintenance Helped BHP To Standardize Tasks And Reduced The Average Truck Downtime For A Regular Service From Two Hours To Just 40 Minutes
 Ali-Izadi-112x128 Ali Izadi
Maintenance Superintendent A&I
BHP
BHP logo
11:30 Predictive Maintenance: Data-Driven Techniques To Improve Prediction Of Pipe Failures For Water Utilities
This autonomous climbing robot (CROC) is used to inspect difficult to reach areas of the Harbour Bridge. Essentially it is designed as a robotic grit-blasting system to remove old paint, rust and debris from steel bridges and for condition assessment. This technology reduces the risks involved in as bridge inspections and improves the overall health and safety of workers. What are the robotic algorithms designed for its 3D map building, collision avoidance and control, and the related developed sensor package for sensing and material type identification.
 Fang-Chen-gray-112x128 Dr. Fang Chen
Executive Director Data Science
University of Technology Sydney (UTS)

12:00 Networking Luncheon
13:00 Interactive Roundtable Discussion
  • Maturity Assessment To Improve The Equipment Reliability In Mine Sites
  • How AI And ML Can Improve Vibration Analysis For Effective Maintenance
  • Designing AR And VR Experiences For Maintenance And Operations Training
  • Use Of Drones For Asset Inspection
 matthew-112x128 Matthew Smith
General Manager Works Program
Energy Queensland

Energy Queensland
 Ali-Soofastaei-112x128 Dr Ali Soofastaei
AI Expert, Artificial Intelligence Center
VALE

 Vale Ali-Soofastaei-Logo
 Nathan-Kirchner-112x128 Nathan Kirchner
Head of Robotics | Ventrures Advisor – Engineering Excellence Group
Laing O’Rourke

 Laing orourke logo
 dwayne-112x128 Dwayne Pretli
General Manger, Asset, Risk & Compliance
VicTrack
VicTrack
Using Intelligent Sensors And IoTs To Transform Maintenance And Field Service
14:00 How SA Water Uses Intelligent IoTs To Transform Maintenance And Field Service Mobility 
SA Water delivers water services to more than 1.6 million customers in South Australia. It became the first water utility in the world to implement IoT sensors on a defined geographical area, outfitting sensors into its pipes as part of a pilot program to create a smart water network. Using Internet of Things technology, the company monitors water flow and water pressure and incorporates smart meters for over 100 customers living in Adelaide CBD. With its pipe network IOT-enabled, SA Water’s access to predictive maintenance and remote monitoring allowed them to make better data-driven decisions about pipe maintenance and opened up new opportunities for cost-savings that have effectively kept them future-proofed. The project has won SA Water the 2018 ‘IoT Project of the Year’.
 Peter-Seltsikas-112x128 Peter Seltsikas
Senior Manager, Asset Management
SA Water

(Invited)
SA Water
14:30 Safer Rail Operations: Reactive To Proactive Maintenance Using State-Of-The-Art Automated In-Service Vehicle-Track Condition Monitoring
 Ravi-Ravitharan-112x128 Ravi Ravitharan
Director, Institute of Railway Technology (IRT)
Monash University
 IRT Logo
15:00 Afternoon Refreshment & Networking
Optimizing MRO With Machine Learning And AI
15:30 Shell: Using AI And Machine Learning To Optimize MRO And Prevent Unplanned Downtime For Thousands Of Critical Equipments
Shell deployed an AI Platform for a broad set of AI applications‚ starting with predictive maintenance for hundreds of thousands of critical pieces of equipment globally‚ and aimed to expand to support other machine learning‚ machine vision‚ and natural language processing (NLP)-based use cases in upstream‚ downstream‚ unconventional‚ refining‚ and retail operations. Two predictive maintenance applications built on the platform are moving into production: the first covers upstream equipment performing coal seam gas production in Australia, and the second helps detect anomalies in downstream valves. The solutions helped to prevent unplanned downtime of its assets, which boosts efficiency and lowers costs.
 Shell Logo
16:00 The Use Of AI To Reduce Maintenance Costs
Predictive maintenance analytics using machine learning models can then identify the correlation between the amount of money spent on maintenance. This led to less downtime and millions of dollars saving from maintenance expenses as well as operational disruptions, as well as positive impact on environmental factors by reducing pollution and waste material generation.
 Ali-Soofastaei-112x128 Dr Ali Soofastaei
AI Expert, Artificial Intelligence Center
VALE

 Vale Ali-Soofastaei-Logo
3D Printing For Use In Maintenance Parts
16:30 Integrated Modular Avionics: Revolutionizing Maintenance With 3D Printed Spare Parts
The benefits of 3D printing included negating the need for necessary parts, particularly those found on more mature aircraft variants. New parts can be virtually designed, printed on site and then tested – all in a very short timespan. Airbus is using this project – known as THOR – as a testbed for futuristic aircraft technologies: from 3D printed structural parts to advanced aerodynamics and even artificial intelligence.
 Mahesh-Shinde-112x128 Mahesh Shinde
Aircraft Maintenance Engineer (Avionics)
Airbus, Australia Pacific
17:00 Automation Roadmap Into The Future For Construction
 Nathan-Kirchner-112x128 Nathan Kirchner
Head of Robotics | Ventrures Advisor – Engineering Excellence Group
Laing O’Rourke

 Laing orourke logo
17:30 Closing Remarks by Forum Chairperson
17:35 Champagne Networking Session
After a long day of learning, benchmarking, and planning, unwind and mingle with your peers.

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TIME AGENDA  
Using Autonomous Drones For Field Service Inspection & Maintenance
09:00 Welcome Speech & Opening Remarks by Forum Producer
09:15 Drone Data: 3D Reality Models For Virtual Site Visits And Optimising Field Service Inspections
 Andrew-Chapman-112x128 Andrew Chapman
CTO and NSW Operations Manager
Australian AUAV  
AUAV logo
How Predictive Maintenance Can Reduce Maintenance Costs And Increase Asset Lifespan
09:45 How Does Digitalisation Help Maintain Asset Value?
 Greg-William-112x128 Greg William
Director Engineering & Asset Management
Yarra Trams
 Yarra Trams
10:15 Morning Refreshments & Networking Session
Root Cause Analysis Of Equipment Breakdowns With Analytics
10:30 Leveraging Big Data Analytics To Determine Root Cause Analysis Of Equipment Breakdowns
Root cause analysis (RCA) is an essential step in the Predictive Maintenance journey. Thanks to significant advances in machine learning and Big Data analytics, root cause analysis can be performed using automated methods. These methods are unbiased and based purely upon historic and real-time data from the production floor.
 Manohar-Esarapu-112x128 Manohar Esarapu
Head of Data and Information
City of Port Philip
 Manohar-Esarapu-Logo
From Predictive To Prescriptive Maintenance
11:00 Downer Turns Predictive Maintenance Into A Reality Within The Company’s Rollingstock Services (RSS) Unit
The program predicts the need for maintenance before a failure manifest as a problem that affects service.
 Saad-Khan-Photo-112x128 Saad Khan
General Manager, Capability & Asset Management
Downer Defence Systems
(Invited)
Downer
Panel Discussion
11:30 Panel: Learning Lessons From Implementation Of A Predictive Maintenance Program: What Are The Challenges, Failures, Ingredients For Success And Key Takeaways
 Mark-Denvir-112x128 Mark Denvir
Director of ICT
Auckland Council
 Auckland Council Logo
 Greg-William-112x128 Greg William
Director Engineering & Asset Management
Yarra Trams
 Yarra Trams
 Nick-Duggan-112x128 Nick Duggan
Field Technical Innovation
Downer Mining Energy and Industrial
Downer
 Annamaria-Greenwood-photo-112x128 Annamaria Greenwood
Senior Corrosion, Inspection and Materials Expert
Inpex
(Invited)
Augmented And Virtual Reality For Maintenance Planning
12:00 Case Study – How Coal Miners Are Using Augmented And Virtual Reality  For Maintenance Planning
Miners work in confined, dust-filled and hazardous spaces, with limited visibility alongside dangerous machinery. Much of the machinery requires maintenance and repair where it stands. In order to help miners to “see” clearly and work faster with enhanced safety

This employs immersive virtuality to provide underground equipment operators with augmented versions of their machines using handheld computers and helmet-mounted displays. It enhances accessibility to data on the history and present condition of machines, and provides guidance for repair and maintenance procedures for the components. Sensors are added to the machinery to provide insights into the wear and tear, and this data is fed into a knowledge-based maintenance system. Back at the mine’s control center, managers can combine data with information on resources, staff skills and capabilities to further improve maintenance planning.

 Nick-Duggan-112x128 Nick Duggan
Field Technical Innovation
Downer Mining Energy and Industrial
Downer
12:30 Networking Luncheon
13:30 Santos’ Digital Maintenance Game Changer: How Santos Uses IoTs, Sensors And Predictive Maintenance Modelling To Forecast Asset Failure With 90 – 100% Accuracy
Santos, one of the largest natural gas and oil producers in the Asia-Pacific, has in place a predictive asset monitoring and alert system for their extensive network of pipelines, wells, pumps, solar energy panels, batteries, and other equipment. Operating in tough weather conditions, Santos leveraged its analytics system, Applied Operational Analytics, to conduct predictive maintenance, which has significantly reduced downtime for wells and other assets, lowered repair bills and cut down on unnecessary trips in the field.
 Santos Logo
14:00 The Augmented Field-Worker: How BP Uses Augmented Reality To Minimize Field Service Calls, Transfer Knowledge And Improve Service Delivery
BP’s U.S. Lower 48 onshore oil and natural gas business has been equipping field service technicians with Augmented Reality platforms to assist with repairs. Downtime from high-cost capital equipment such as utilities infrastructure often requires significant associated costs. BP used a platform that provided out-of-the-box AR hardware and an SaaS platform to which centralizes technical data, making it easily deployable in the field. A pair of connected AR glasses permits service techs to transmit video of equipment and repairs in real time back to a supervisor, who in turn can provide substantive guidance in the form of textual information, graphical information, or audio descriptions.
 bp logo
14:30 Empowering Maintenance Engineers With Wearable Assisted Reality Technology 
With a goal of enhancing the remote support system for the turbine test cells it develops, builds and supports for its clients, TAE Aerospace launched the use of wearable assisted reliability in MRO. The wearable assisted reality technology enabled maintenance technicians to visualise software data related to the asset they are servicing on near-eye display. Technicians could access information to perform triage, order parts in the field, and upload billing information in real time as they work.

15:00 Afternoon Refreshment & Networking Session
Augmented And Virtual Reality For Field Safety Training In Dangerous Environments
15:30 How AR/VR Improves Hazardous Safety & Emergency Response With Immersive Training: Case Study In The Process Industry
For oil & gas operators and chemicals manufacturers, practice in a virtual simulation is more than a game, it’s a vital lesson. The experiences allow employees to hone their instincts, catch their mistakes and make instant decisions, so that they’re better equipped to work smarter and safer.
16:00 Using AR/VR At Melbourne Water To Train Maintenance Engineers
Melbourne Water uses VR and augmented-reality (AR) for training. The company sees the new technology as ideal supplements to existing training, particularly in applications where real-world resources either are difficult to access or not always required. Examples include refresher training and laying the foundation for new processes that can then be honed on actual engines. The VR interface gives maintenance engineers a real-world experience at a fraction of the cost.
 Scott-112x128 Scott Mcmillan
Project Lead/Safety Manager, Technology and Innovation
Melbourne Water
Melbourne Water Logo
16:30 Auckland City Council: How Field Service Inspection Automation Drives Savings
Auckland City Council governs a diverse population of nearly 1.7M people who reside in the city and the outlying rural areas. The building inspections department has a very dynamic work environment, and many considerations to achieving an optimal schedule. Prior to automation, scheduling was done via Excel spreadsheets. Field service automation can drive measurable business value like increased productivity and efficiency, and reduced costs from improved route optimization.
 Mark-Denvir-112x128 Mark Denvir
Director of ICT
Auckland Council
 Auckland Council Logo
17:00 Fully Automated System Transforms Field Service Management At Downer
Downer, a leading provider of integrated services across assets, infrastructure and facilities in Australia and New Zealand, transformed its field service management with a platform-based solution enabled by AI and Machine Learning to schedule and assign maintenance work, covering the whole work order and job management process. Cases are created in field service, jobs are matched to workers based on skills, availability, location and previous jobs, and booked. Workers are messaged with the jobs, and receive all the information they need – including compliance checklists, work orders, schedules and locations – direct to their mobile device. The project has been able to deliver success with strong collaborative practices.
Anthony-Roe-112x128 Anthony Roe
Head of Digital Technology
Downer
Downer
17:30 Closing Remark by Forum Chairperson

TIME

AGENDA

09:00 – 12:00 Site Visit A
Site Visit To A Building Facility Where Digital Inspection And Maintenance Strategies Using AI And Drones Have Been Implemented. 

Although the use of drones to ease the labour-intensive, costly and often hazardous work of building maintenance is nothing new, maintenance professionals continue to grapple with the challenge of accurately analyzing and interpreting the data the drones gather. Artificial intelligence offers a solution, enabling the creation of programs and algorithms that can pick out defects from drone images and 3D models. Recent studies show that such AI-augmented visual inspection could improve defect detection rates by up to 90%. Find out more about this exciting technology in this exclusive visit.

maintenance tech

13:00 – 16:00

Site Visit B

Drones For Field Service Inspection.

Assets and infrastructure in hard-to-reach locations, or over large areas, are costly, difficult and often dangerous to inspect regularly. In recent years, robotics have begun to offer a better way to conduct these inspections and ensure early detection of faults and damage that may cause service interruptions or risk. Unmanned aerial vehicles (UAVs) in particular have been demonstrated to halve inspection costs in some cases, while cutting weeks-long inspections to mere days – and even allowing some assets to avoid shutdowns and disruption while under inspection. Get an up-close look at how forward-looking companies maximize the potential of drone inspections in this exclusive site visit.

drone-building-inspection

Space In Each Site Visit Is Limited, Registrations Will Be Available On First Come, First Reserved Basis.