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digital transformation

Practical Implementation of IoT Devices for Remote Monitoring

Practical Implementation of IoT Devices for Remote Monitoring

I discuss these including hardware, software, communications networks, and platforms. I’ll also give practical examples of projects covering different aspects of IoT implementation.

Cycle-based Maintenance Made Simple In The Cloud

Cycle-based Maintenance Made Simple In The Cloud

As digital transformation finds its way into maintenance planning, the planner now has the ability to graduate their program from calendar to cycle-based PM's.

Architect Your Way to Industry 4.0!

Architect Your Way to Industry 4.0!

The future of all asset-intensive industries is at stake. Industry 4.0 is the future. Business leaders must ensure their organization can bridge the gap between where their organization is today and their vision.

Technology is Not the Paradigm Shift of Reliability

Technology is Not the Paradigm Shift of Reliability

Using the technology tools to teach the next generation, people who have never known a world without the internet.

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Reliability Radio EP 289: Gail Petersen & Jack Lucy

Reliability Radio EP 289: Gail Petersen & Jack Lucy

In this podcast, we have a discussion with the main author Gail Petersen and contributing author Jack Lucy on this new publication and their experiences in the industry bringing Industry 4.0.

Data Based Maintenance (DBM) (A new approach in Industry 4.0)

Data Based Maintenance (DBM) (A new approach in Industry 4.0)

Proactive maintenance is linked with condition monitoring e.g vibrations. High vibration values are results of initiators which are human or have bad operation. As everything is digitalized, time to have maintenance based on operating conditions which gives an instance and future reliability.

Meet Spot: The Solution to Autonomous Industrial Inspections

Meet Spot: The Solution to Autonomous Industrial Inspections

Attendees will want to attend this session and learn first-hand how Boston Dynamics’ Spot robot is being used in industrial settings to extend and enhance the overall maintenance operation.

Augmenting AI with Physics and Thermodynamics for High Fidelity Digital Twins

Augmenting AI with Physics and Thermodynamics for High Fidelity Digital Twins

A methodology to build fit-for purpose anomaly and performance digital twins that are built using deep learning AI methods that works in tandem with a thermodynamic engine, failure library (FMEA) engine and recommendation advisory rule base. Result - better asset health.

Bridging the Vibration Gap with Digital Monitoring Solutions

Bridging the Vibration Gap with Digital Monitoring Solutions

diagnosing developing faults and providing 24/7 online monitoring as complementary approaches to condition-based maintenance.

Integrating Uptime Elements in a Comprehensive Machine Health Platform

Integrating Uptime Elements in a Comprehensive Machine Health Platform

has overcome integration cost and complexity challenges by leveraging a cohesive multipurpose sensor and software platform called SmartDiagnostics. In doing so, a positive ROI was achieved in several months.

Bringing Predictive Maintenance into the Boardroom

Bringing Predictive Maintenance into the Boardroom

In this session, we will discuss:· What digitization methods should plant managers focus on.· Why predictive maintenance is the first way to measure maintenance efficiency in real time.· How to get ahead of the game and be an early adopter of Industry 4.0 predictive maintenance techniques.

How Merck Established A Center Of Excellence to Advance Predictive Maintenance Globally

How Merck Established A Center Of Excellence to Advance Predictive Maintenance Globally

With the goal of advancing asset reliability and predictive maintenance (PdM) to enable increasing production targets, multinational pharmaceutical company Merck has established a center of excellence known as the PdM HUB. This HUB provides centralized processes to deploy and sustain predictive maintenance technologies across the global Merck network.

Measuring Bearing Friction In Real Time-What 8.5 Billion Data Points Has Taught Us

Measuring Bearing Friction In Real Time-What 8.5 Billion Data Points Has Taught Us

It is hard to read anything about reliability, asset managements and predictive maintenance without hearing the term AI or its closely related cousins Predictive Analytics, Prescriptive Maintenance, Industry 4.0, Smart Manufacturing. All these new acronyms, terms and buzz words can be confusing to those us that have been implementing the fundamentals of reliability. This workshop aims to break down the hype of AI into what matters for us as reliability professionals as learned by a fellow reliability practitioner through failure and success of AI in reliability for the last three years. We will dive into the common questions like: What is AI? What is a good application for AI or what is not a good application? Do I need to have condition monitoring in place before AI?

One on One with Terrence O'Hanlon

One on One with Terrence O'Hanlon

Special Guest Jeff Kinard of Prometheus Group discuss Digital Transformation.

Leveraging Predictive Analytics In APM 4.0

Leveraging Predictive Analytics In APM 4.0

APM 4.0 is the combination of Industry 4.0, traditional APM, predictive analytics, digital twins, IIoT platforms and maintenance systems working together.

Pacific Northwest National Laboratory Journey to Mobility for Maximo

Pacific Northwest National Laboratory Journey to Mobility for Maximo

Maximo has been implemented and used by Pacific Northwest National Laboratory (PNNL) since the late ’90s; the system has been utilized mainly for Maintenance activities.

Implementing Eam At San Jose Water

Implementing Eam At San Jose Water

San Jose Water (SJW) is an investor-owned utility providing water service to over 1 Million people in the Silicon Valley and greater San Jose metropolitan area.