digitalization

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.

asset condition management

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.

asset condition management

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.

Work Execution Management

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

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

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?

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

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.

digitalization

Architect Your Way to Industry 4.0!

Reliability Radio EP 289: Gail Petersen & Jack Lucy

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

Meet Spot: The Solution to Autonomous Industrial Inspections

Bridging the Vibration Gap with Digital Monitoring Solutions

Integrating Uptime Elements in a Comprehensive Machine Health Platform

Buzzword or Real Voice of the Customer

Bringing Predictive Maintenance into the Boardroom

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

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

Leveraging Predictive Analytics In APM 4.0

Pacific Northwest National Laboratory Journey to Mobility for Maximo

Why Every Enterprise Needs A Connected Frontline Worker Platform

Implementing Eam At San Jose Water

Embedding Expertise Into Analysis Algorithms Helps In Differentiating Between Mechanical Problems

The Reliability Digital Twin

Data Based Maintenance

Evolving The Management Of Linear Assets— A Holistic Approach To Driving Transformation

Digital Twin FMECA Modeling

Complex Troubleshooting