Nonelectronic Parts Reliability Data, 2023 Editon (NPRD-2023), 非電子部品信頼性データ 2023

Nonelectronic Parts Reliability Data, 2023 Editon - NPRD 2023

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Nonelectronic Parts Reliability Data, 2023 Editon - NPRD 2023

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書名

Nonelectronic Parts Reliability Data, 2023 Editon  NPRD-2023
非電子部品信頼性データ 2023 (NPRD-2023)
発行元 Quanterion Solutions Incorporated
発行年/月 2023年11月   
装丁 冊子(Section1-2/全5巻) と CD(Section3-8)の混成
発送予定 海外倉庫よりお取り寄せ 1-2週間以内に発送します

※オンライン年間購読版 ROADS については別途お問い合わせください。

 

Description

Nonelectronic Parts Reliability Data (NPRD-2023) 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.

NPRD-2023 contains field failure rate data on a wide variety of electrical, mechanical, electromechanical, and microwave parts and assemblies. The data can be used as a surrogate source of reliability failure rate data in the absence of other data to assist in performance of reliability analyses and assessments.

Compared to the NPRD-2016 publication, NPRD-2023 adds 13,000 new parts and 300,000 new failure rates for a total of 250,000 new components and more than 1.5 million data records. The expanded part types and data in NPRD-2023 cover ground, airborne and naval environments. Data was collected for this product from a wide variety of commercial and military sources.

It is not feasible for reliability prediction methodologies of any kind to contain failure rate models on every conceivable type of component and assembly. Traditionally, reliability prediction models have been applicable only for generic electronic components. Therefore, NPRD-2023 serves a variety of needs:

- To provide surrogate failure rate data sources when an organization does not have failure rate experience data from its own products/systems
- To provide failure rates on assemblies (e.g., disk drives) in cases where piece-part level analyses are not feasible or required (e.g., Commercial Off-the-Shelf and other “black box” items)
- To complement reliability prediction methodologies by providing data on part types not addressed by its models