EconPapers    
Economics at your fingertips  
 

Derating Design of Control Circuits Based on Harpness Simulation

Xin Wang (), Jun-Wen Shi () and Xiang-Yang Yu ()
Additional contact information
Xin Wang: The Military Representative Bureau of the Navy Equipment Department of the People’s Liberation Army Navy stationed in Shenyang Area
Jun-Wen Shi: Beijing Zhongcheng Renhe Technology Development Co., LTD.
Xiang-Yang Yu: Qingdao Campus of Naval Aviation University of the People’s Liberation Army of China

A chapter in Data-Driven Methods for Reliability and Safety Engineering: Applications in Industrial Systems, 2026, pp 61-70 from Springer

Abstract: Abstract Derating design, as a classical and extensively applied method in circuit reliability engineering, plays a pivotal role in maintaining the stable performance of electronic circuits. Nevertheless, traditional derating methodologies are limited by several challenges, including a high degree of subjectivity, the absence of standardized quantitative criteria, computational complexity, and significant difficulty in accurately assessing transient electrical stresses during component evaluation. To overcome these limitations, this study incorporates the simulation analysis module of Harpness software to enhance the derating design process. By utilizing simulation-based calculations of electrical stress under both standard operating conditions and extreme scenarios, the proposed approach facilitates precise assessment of transient electrical stresses and component junction temperatures. The simulation platform outputs data tables that provide detailed stress analysis and derating evaluations for all components, thereby substantially improving the accuracy and efficiency of the derating design process. Particular attention is given to the simulation methodology for FPGA device derating, which applies equivalent circuit 1 odelling and equivalent load techniques to enable accurate simulation analysis.

Keywords: Derating design; Components; Simulation; Reliability (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-032-22873-4_6

Ordering information: This item can be ordered from
http://www.springer.com/9783032228734

DOI: 10.1007/978-3-032-22873-4_6

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-24
Handle: RePEc:spr:ssrchp:978-3-032-22873-4_6