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== Abstract ==
 
== Abstract ==
  
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<p>Metallized polypropylene film capacitors (MFCs) undergo dielectric aging under thermal stress, critically affecting operational reliability. To address the insufficient sensitivity of traditional loss-detection methods for early warning, this paper employs frequency-domain dielectric spectroscopy (FDS) to conduct accelerated aging tests on 100 &mu;F automotive-grade MFCs at 120&deg;C. The dielectric loss tangent (tan&delta;) and capacitance were measured over a wide frequency range (50 Hz&ndash;12 kHz). A characteristic frequency of 8100 Hz is identified as an early-warning indicator for thermal aging: while traditional methods detect only 0.7% and 2.5% changes after 360 and 720 h aging respectively, FDS captures 13.68% and 27.5% signal changes at 8100 Hz, reaching 55.5% at capacitor failure (1080 h)&mdash;3&ndash;8 times more sensitive than conventional approaches. Further analysis reveals frequency-dependent degradation patterns: the low-frequency band reflects increased conductive loss from electrode corrosion, the mid-frequency band shows the most sensitive relaxation loss changes, while high-frequency changes are slower, collectively reflecting progressive aging from interface to bulk. A health index (HI) model integrating multiple spectral features is developed using an improved weighted fusion algorithm, enabling aging state classification into four levels and remaining lifetime prediction with error within 5.6%. This FDSbased tan&delta; spectral analysis provides a novel approach for MFC lifetime prediction and early aging warning, offering practical significance for enhancing electric drive system reliability in new energy vehicles.OPEN ACCESS Received: 23/10/2025 Accepted: 19/12/2025 Published: 21/09/2026</p>
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<p>This study focuses on estimating reliability for the Weibull distribution
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within the framework of constant-stress partially accelerated life tests,
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+
incorporating the unified Type-I progressive hybrid censoring scheme
 +
that has not been previously examined. The unknown parameters of the
 +
Weibull model, including acceleration factors and key reliability measures
 +
such as the reliability function and hazard rate function under normal use
 +
conditions, are estimated. The maximum likelihood method is used to
 +
obtain point estimates and approximate confidence intervals. Additionally, a Bayesian approach based on Markov Chain Monte Carlo sampling
 +
is applied to compute point estimates and Bayesian credible intervals,
 +
assuming a squared error loss function. A simulation study is conducted
 +
to compare the performance of the estimators using criteria such as mean
 +
squared error, interval width, and coverage probability. Finally, two real-world data sets from accelerated life testing are analyzed to illustrate the
 +
practical usefulness of the proposed methods.</p>
  
 
== Document ==
 
== Document ==
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<pdf>Media:Draft_content_550723132-9233-document.pdf</pdf>
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<pdf>Media:Review_361464043566_4672_149. TSP_RIMNI_79283.pdf</pdf>

Latest revision as of 12:47, 25 September 2026

Abstract

This study focuses on estimating reliability for the Weibull distribution within the framework of constant-stress partially accelerated life tests, incorporating the unified Type-I progressive hybrid censoring scheme that has not been previously examined. The unknown parameters of the Weibull model, including acceleration factors and key reliability measures such as the reliability function and hazard rate function under normal use conditions, are estimated. The maximum likelihood method is used to obtain point estimates and approximate confidence intervals. Additionally, a Bayesian approach based on Markov Chain Monte Carlo sampling is applied to compute point estimates and Bayesian credible intervals, assuming a squared error loss function. A simulation study is conducted to compare the performance of the estimators using criteria such as mean squared error, interval width, and coverage probability. Finally, two real-world data sets from accelerated life testing are analyzed to illustrate the practical usefulness of the proposed methods.

Document

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Document information

Published on 21/09/26
Accepted on 30/03/26
Submitted on 19/01/26

Volume 42, Issue 6, 2026
DOI: 10.23967/j.rimni.2026.10.79283
Licence: CC BY-NC-SA license

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