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digital transformation

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.

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Digital Twin FMECA Modeling

Digital Twin FMECA Modeling

The objectives of DTFM are to build a representative digital twin model of a system or asset using digital modeling and simulation tools.

Building the Digital Roadmap for Asset Management

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.

Identifying Potential and Hidden Failures in Advance

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.

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

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.

Case Study: Overhead Crane Monitoring Using Wireless IIoT Sensors

Case Study: Overhead Crane Monitoring Using Wireless IIoT Sensors

Wireless vibration sensors have been around for quite some time and have traditionally been used on simple, constant speed machines.

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

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.

Modern Analysis: Prescriptive Analytics and Data Collaboration

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.

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

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

Field techs, with effective mobility, are critical in the quest for reliability and asset management (RAM) improvement.

Watching Destructive Forces Instead of Chasing Impending Failures

Watching Destructive Forces Instead of Chasing Impending Failures

It's well-known that the primary costs and losses in processing industries come from sudden failures of equipment. But, why is everyone looking for a digital solution for more precise failure forecasting?

A Holistic Approach to Condition Monitoring

A Holistic Approach to Condition Monitoring

Cascades is an organization of more than 70 plants in the pulp and paper industry. Before implementing a holistic condition monitoring program, every plant had different condition monitoring equipment.

Digital Twin for Water Pumping Assets: Performance During Texas 2021 Deep Freeze

Digital Twin for Water Pumping Assets: Performance During Texas 2021 Deep Freeze

Water utilities in Texas went to war with mother nature to keep pumps running through blackouts to maintain water to customers in January 2021.

Mitigating Operational Risks with Confidence: Your Condition Monitoring 4.0 Journey Awaits

Mitigating Operational Risks with Confidence: Your Condition Monitoring 4.0 Journey Awaits

This presentation will focus on how to move your organization to asset condition monitoring 4.0 without losing the value of strategic discussions while focusing on the enhancement of data collection and analysis.

Establishing Expectations and Requirements for Performance Digital Twins

Establishing Expectations and Requirements for Performance Digital Twins

Jared Hartness, GE Digital

Implementing digital twins is becoming a strategic necessity for many industrial companies. In this session, learn the basics of how digital twin models should be built, how to scale and implement these models on assets and systems to create a twin, and discover best practices for how to leverage these twins operationally to predict, diagnose and forecast performance degradation as a part of your reliability work processes.

Reliability at a Crossroads

Reliability at a Crossroads

In order for reliability programs to succeed and be sustainable, one must be patient.

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