Industrial Data Diagnostics

SAN RAMON, Calif. – April 27, 2022 -- GE Digital today announced the availability of Industrial Data Diagnostics, a cloud application that is complementary to the company’s industry-leading APM asset performance management software. Industrial Data Diagnostics™ serves as a valuable diagnostic tool set providing data quality recommendations along with easy to use out-of-the-box analytics designed to help assess predictive maintenance effectiveness, find benchmarked bad actors, and quantify opportunity benefits.

Large enterprises with several plants, with non-standardized CMMS (Computerized Maintenance Management System) data, and/or multiple CMMS instances, can benefit from Industrial Data Diagnostics through data standardization, enterprise metrics, and data analytical capabilities.

Improving maintenance data quality from EAM/CMMS systems dramatically improves Asset Performance Management practices and enables data-driven decision making with confidence. Industrial Data Diagnostics software helps distinguish usable data from incomplete or inaccurate data, which in turn helps customers identify unnecessary spend, experience stronger ROI, benchmark against industry peers, and identify data improvement opportunities simultaneously. And companies can utilize the Industrial Data Diagnostics data quality module to gauge the quality and potential gaps of their asset management data and have a clearer understanding of what data they should have to initiate an asset performance management project.

Industrial Data Diagnostics helps companies understand which metrics can be measured and reported with confidence today and identify what data needs to be improved over time. It is designed to help show company performance as compared to the average peer benchmark for overall maintenance cost, average maintenance work cost, average maintenance work count, mechanical downtime, and site

performance. It also provides an asset performance comparison for assets at the different levels of corporate hierarchy, equipment classification, or the individual asset level.

Another valuable feature of Industrial Data Diagnostics shows the average corrective cost versus the mean time between repairs for specific manufacturers of an equipment type or class. A North American petrochemical company was able to analyze failure trends of poor performing pressure transmitters. Industrial Data Diagnostics recommended a new manufacturer based on industry-wide performance data and projected that the organization could save $8 million over the life of the more reliable transmitters.

Industrial Data Diagnostics (formally Asset Answers) is designed to include an improved UX/UI, greater scalability, and tighter integration with GE Digital’s APM. Built on the same platform as APM, users can more easily navigate between modules using a single login and help to accelerate the value their asset performance management experience.

“Many energy companies, manufacturing, and chemical processors naturally struggle with data quality,” said Linda Rae, General Manager of GE Digital’s Power Generation and Oil & Gas business. “With Industrial Data Diagnostics, we have overcome problems caused by data quality and unlocked hidden savings. Companies can perform reliable analytics in seconds, and ensure trusted data drives critical business decisions with confidence.”

Click on these links for more information about Industrial Data Diagnostics and GE Digital’s software for Power Generation and Oil & Gas. .

Upcoming Events

August 9 - August 11 2022

MaximoWorld 2022

View all Events
80% of newsletter subscribers report finding something used to improve their jobs on a regular basis.
Subscribers get exclusive content. Just released...MRO Best Practices Special Report - a $399 value!
Optimizing Value From Physical Assets

There are ever-increasing opportunities to create new and sustainable value in asset-intensive organizations through enhanced use of technology.

Conducting Asset Criticality Assessment for Better Maintenance Strategy and Techniques

Conducting an asset criticality assessment (ACA) is the first step in maintaining the assets properly. This article addresses the best maintenance strategy for assets by using ACA techniques.

Harmonizing PMs

Maintenance reliability is, of course, an essential part of any successful business that wants to remain successful. It includes the three PMs: predictive, preventive and proactive maintenance.

How an Edge IoT Platform Increases Efficiency, Availability and Productivity

Within four years, more than 30 per cent of businesses and organizations will include edge computing in their cloud deployments to address bandwidth bottlenecks, reduce latency, and process data for decision support in real-time.

MaximoWorld 2022

The world's largest conference for IBM Maximo users, IBM Executives, IBM Maximo Partners and Services with Uptime Elements Reliability Framework and Asset Management System is being held Aug 8-11, 2022

6 Signs Your Maintenance Team Needs to Improve Its Safety Culture

When it comes to people and safety in industrial plants, maintenance teams are the ones who are most often in the line of fire and at risk for injury or death.

Making Asset Management Decisions: Caught Between the Push and the Pull

Most senior executives spend years climbing through the operational ranks. In the operational ranks, many transactional decisions are required each day.

Assume the Decision Maker Is Not Stupid to Make Your Communication More Powerful

Many make allowances for decision makers, saying some are “faking it until they make it.” However, this is the wrong default position to take when communicating with decision makers.

Ultrasound for Condition Monitoring and Acoustic Lubrication for Condition-Based Maintenance

With all the hype about acoustic lubrication instruments, you would think these instruments, once turned on, would do the job for you. Far from it!

Maintenance Costs as a Percent of Asset Replacement Value: A Useful Measure?

Someone recently asked for a benchmark for maintenance costs (MC) as a percent of asset replacement value (ARV) for chemical plants, or MC/ARV%.