Effective understanding of the health of your equipment and prediction of what its future looks like is based on detecting anomalies sooner and being able to make real time decisions based on those anomalies.
Resource Library
Right Sizing Red Hat OpenShift Environment for MAS
By evaluating the type of system you are constructing and selecting the MAS components that your are implementing you will be able to accurately size your environment which now runs as containerized applications under Red Hat OpenShift.
Watson Studio Essentials: Data Preparation Strategies & AutoAI Advancements
This article describes the first few steps a person will take when using existing data sets and preparing them for use in AI/ML forecasting and anomaly detection. It introduces the reader to IBM Watson Studio by way of a problem statement and sample equipment data.
Maintenance Key Performance Indicators (KPI’s)
Tor Idhammar
President & CEO, IDCON, Inc. Reliability and Maintenance Consultant
IDCON is an Independent Subsidiary of TRM, Inc.
Measuring things that get done correctly and the results of this effort is an essential part of successful management, and is in your company’s best interests.
Add This Important Tool to your Predictive Maintenance Approach: Aspen Mtell
A key element of any approach to asset performance management (APM) are the tools to make use of the vast amounts of operational data coming from actual equipment sensors. Aspen Mtell is one of those tools that uses machine learning algorithms to analyze the data and generate credible alerts to impending failures.
TRM High Security Cloud and its Relation to NERC CIP and NIST CSF
It is important to understand what some of the cybersecurity standards and requirements are and how they may impact your adoption of cloud environments for your software solutions.
What Is and How to Use Anomaly Detection
Anomaly detection (AD) is the art of discovering data points in a data set that deviate from what is considered normal or expected. Let’s try an example. Look at the chart below and ask a couple of questions: What appears to be the normal, or expected value for each day of the 16-day process? What appears to be the significant excursion(s) from that normal?
What is Asset Performance Management (APM)?
While the definition of APM may vary from one organization to another, there are several foundational elements that need to be considered to start down this path. APM is not a product nor even a framework but rather describes a set of activities that we have been doing to some degree or another for quite some time. Of course, there are software and other tools that can provide the necessary features and functions you need to “do,” APM.
Working with SAP Master and Transactional Data
No matter which module of SAP you are working with, there are master and transactional data sets that you must consider as you are making changes to an existing system, migrating from one system to another, or standing up a new system altogether.
To FedRAMP or Not to FedRAMP. It’s More Than a Single Question.
One significant decision an organization must make when moving their software tools and solutions to the cloud is the level of security that is required. The first thought is that the highest and most restrictive environments are desired. But the real question remains what is truly required?
Moving from Software Validation to Assurance: CSV vs. CSA
The FDA has recognized that the degree of effort and documentation required to maintain validated systems has been standing in the way of industry adopting software tools …and has made a course change.
What is Failure Prediction?
No one likes it when equipment fails, except maybe those who are selling replacements. Failures occur at the most inopportune moments; in the middle of an important production run; in the middle of the night when the crew is at a minimum; on a Friday afternoon; or during the tour of new investors on their first plant visit.