The Recording and Slides are Available Below!
Webinar Addresses Cost Impacts of Condition-Based Maintenance
Mass availability of data has enabled the growth of condition-based maintenance. However, engineers are too often sold on the benefits of big data without a description of the hidden costs to collecting, maintaining, monitoring, interpreting, securing, and applying the data to their systems and products.
In this webinar, a Senior Reliability Engineer, Chris Maxwell, contrasted condition-based maintenance vs. a surrogate data approach to provide a framework that minimizes the cost of reliability and availability.
Key Takeaways
- Understand the high-impact costs of condition-based maintenance that engineers may not consider until too far into their reliability program planning.
- Explore use cases of surrogate data to improve cost savings, save labor, and reduce corrective maintenance.
- And more!
Mr. Maxwell has a BSEE from Rensselaer in Communications and Control Systems and subsequently an MSEE from SUNY Binghamton.
Mr. Maxwell has also served as an Adjunct Professor for Mohawk Valley Community College, teaching: Circuits, Physics and Introduction to Engineering Science. Mr. Maxwell has worked as a project engineer, designer and consultant within the DoD, Aerospace, Transportation and Instrumentation industries for 30 years prior to joining Quanterion Solutions.
As a designer, Mr. Maxwell has experience with the design of analog electronics, power supplies, battery charge and conditioning circuits/firmware, communication systems, embedded processors, human to machine interfaces, digital signal processing algorithms, mechanical elements for electromagnetic shielding, signal integrity mitigation, mechanical elements for product safety and mechanical component coordination for galvanic compatibility.
In addition to design work, as a member of numerous new product introductions, Mr. Maxwell has also served as a project technical lead for Electromagnetics Compliance, Agency Safety Compliance, risk analysis and FMEA analysis. Since coming to Quanterion Solutions in 2021, along with performing FMEA and Reliability Prediction analyses; Mr. Maxwell has worked to complement Quanterion Solutions’ statistical expertise and experience in reliability by taking empirical and physics-based approaches to reliability modeling as well as expanding Quanterion Solution’s capabilities in Worst Case Analysis.
Training
September 2025 Open Training
Gain Skills in Stress-Strength Analysis, Reliability Demonstration Test Methods, Design of Experiments, and More
Register today for hands-on training to be hosted Sept. 9-11, 2025 in Albuquerque, NM to introduce you or your employee(s) to reliability engineering in Reliability 201: Quantitative Reliability Analysis or train you how to use one of the most widely used and effective reliability analysis methods in the Weibull Analysis course.
Design engineers, new reliability engineers, product/program managers, and anyone interested to gain a basic understanding of reliability engineering or advance your knowledge with specific skills and techniques, this training is for you.
Course Dates: Tuesday, Sept. 9 – Thursday, Sept. 11, 2025.
Course Location: Drury Inn & Suites Albuquerque North, NM
Deadline to Register: Aug. 26, 2025
Learn more and register for September 2025 Reliability Engineering Open Training.
November 2025 Open Training
Learn Introductory to Intermediate Reliability Skills! Learn to Perform and Interpret Fault Tree Analysis (FTA), Failure Mode Effects Analysis (FMEA), and Other Reliability Predictions
Registration is now open for reliability training to be hosted Nov. 4-6, 2025 at the DoubleTree Suites by Hilton Orlando – Disney Springs. Choose from Reliability 101: Introduction to Reliability Engineering or Software Failure Modes Effects Analysis.
Course Dates: Tuesday, Nov. 4 – Thursday, Nov. 6, 2025.
Course Location:DoubleTree Suites by Hilton Orlando – Disney Springs, Lake Buena Vista, FL
Deadline to Register: Oct. 23, 2025.
Learn more and register for November 2025 Reliability Engineering Open Training.
Datasets
Nonelectronic Parts Reliability Data – NPRD-2023
The 2023 Edition of the Nonelectronic Parts Reliability Data publication (NPRD-2023) is available through ROADS and presents field failure rate data on a wide variety of mechanical and electromechanical parts and assemblies. The parts cover ground, airborne and naval environments. NPRD-2023 adds 300,000 new failure rate records and 13,000 new components compared to its predecessor.
Learn more about NPRD-2023 and access through the ROADS subscription.
Electronic Parts Reliability Data – EPRD-2024
Harness the power of electronic parts component data for efficient and effective MTBFs, FMEAs, and more. The brand-new Electronic Parts Reliability Data (EPRD-2024) resource contains 1.2 million field failure rate data records of commercial and military electronic components and assemblies for use in reliability analyses.
Learn more and access EPRD-2024 through the ROADS subscription.
Failure Mode / Mechanism Distributions – FMD-2016
This databook contains field failure mode and mechanism distribution data on a variety of electrical, mechanical, and electromechanical parts and assemblies. This data can be used to assist in the performance of reliability analyses and assessments such as Failure Modes, Effects and Criticality Analysis (FMECA) and Fault Tree Analysis (FTA).
Learn more about FMD and access through the ROADS subscription.
Reliability Online Automated Databook System (ROADS)
The Reliability Online Automated Databook System (ROADS) is a subscription that provides customized access to all the Quanterion Databooks: Nonelectronic Parts Reliability Data (NPRD), Electronic Parts Reliability Data (EPRD) and/or Failure Modes / Mechanisms Distribution (FMD).
Learn more and access NPRD, EPRD, and FMD datasets through ROADS.
Need assistance with reliability engineering at your company? Let our experienced engineers walk you through your options and perform an analysis. Email us at reliability@quanterion.com or learn more about our reliability consulting.
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