digital transformation

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.

internet of things digitalization (iot)

Building the Digital Roadmap for Asset Management

The digital transformation journey begins with the development of an overall strategy and the creation of a digital roadmap. Digital transformation integrates many different businesses and functions across the enterprise in order to turn data into actionable information.

internet of things digitalization (iot)

Identifying Potential and Hidden Failures in Advance

With 89 percent of all equipment failures being random, knowing the status of your facility is key to improved operations. To understand the current operating status, plants collect data from a variety of sources.

internet of things digitalization (iot)

How IoT-Based Predictive Maintenance and Handheld Inspections Compare and Complement Each Other

The manufacturing industry has been following a route-based monitoring approach for ages. Without question, AI and IoT has changed the way we look at condition monitoring and diagnostics.

work execution management

Going Digital Means More Data for Decision Making: Are You Checking the Integrity of Your Data?

The application of Industry 4.0 principles often involves the enhanced use of CMMS applications and the automation of data collection, all resulting in the world of Big Data.

work execution management

Modern Analysis: Prescriptive Analytics and Data Collaboration

Most vibration analysts are operating at full capacity today. They are collecting their route data and analyzing this data month after month. Many of these reliability programs were established many years ago and the evolution of the programs over time have been slow, or maybe non-existent.

digital transformation

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

One on One with Terrence O'Hanlon

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

Identifying Potential and Hidden Failures in Advance

Building the Digital Roadmap for Asset Management

Identifying Potential and Hidden Failures in Advance

How IoT-Based Predictive Maintenance and Handheld Inspections Compare and Complement Each Other

Case Study: Overhead Crane Monitoring Using Wireless IIoT Sensors

Going Digital Means More Data for Decision Making: Are You Checking the Integrity of Your Data?

Modern Analysis: Prescriptive Analytics and Data Collaboration

Maintenance Technician 4.0: Leveraging Mobility to Enable Reliability and Asset Management (RAM)