Kaur et al 2026a - Revision history

Scipediacontent: Scipediacontent moved page Review 738828789955 to Kaur et al 2026a

2026-09-25T11:06:19Z

Scipediacontent moved page Review 738828789955 to Kaur et al 2026a

Scipediacontent at 11:04, 25 September 2026

2026-09-25T11:04:08Z

Scipediacontent at 10:58, 25 September 2026

2026-09-25T10:58:42Z

Scipediacontent: Scipediacontent moved page Draft content 543333632 to Review 738828789955

2026-09-25T10:32:51Z

Scipediacontent moved page Draft content 543333632 to Review 738828789955

Scipediacontent: Created page with " == Abstract ==
Metallized polypropylene film capacitors (MFCs) undergo dielectric aging under thermal stress, critically affecting operational reliability. To address the..."

2026-09-25T10:32:01Z

Created page with " == Abstract == <p>Metallized polypropylene film capacitors (MFCs) undergo dielectric aging under thermal stress, critically affecting operational reliability. To address the..."

New page

== Abstract ==

<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 μF automotive-grade MFCs at 120°C. The dielectric loss tangent (tanδ) and capacitance were measured over a wide frequency range (50 Hz–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)—3–8 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 tanδ 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>

== Document ==
<pdf>Media:Draft_content_543333632-1228-document.pdf</pdf>

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 == Abstract ==
-<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>
+<p>Breast cancer diagnosis from histopathological images remains a critical yet challenging task due to high intra-class variability and reliance
+on expert interpretation. Although deep learning models have achieved
+promising results, many existing approaches suffer from limited interpretability and insufficient modelling of global contextual dependencies.
 == Document ==
 <pdf>Media:Review_738828789955_4994_155. TSP_RIMNI_84492.pdf</pdf>

← Older revision		Revision as of 10:58, 25 September 2026
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	== Document ==		== Document ==
−	<pdf>Media:~~Draft_content_543333632-1228-document~~.pdf</pdf>	+	<pdf>Media:Review_738828789955_4994_155. TSP_RIMNI_84492.pdf</pdf>

← Older revision	Revision as of 11:06, 25 September 2026
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