{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T15:47:41Z","timestamp":1787240861449,"version":"build-2736575974"},"reference-count":41,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T00:00:00Z","timestamp":1785801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004829","name":"Sichuan Provincial Science and Technology Plan Project","doi-asserted-by":"publisher","award":["2022YFG0063"],"award-info":[{"award-number":["2022YFG0063"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004829","name":"Sichuan Provincial Science and Technology Achievement Transfer and Transformation Demonstration Project","doi-asserted-by":"publisher","award":["2024ZHCG0061"],"award-info":[{"award-number":["2024ZHCG0061"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>High-pressure quintuplex pumps are key components in oil and gas drilling systems, but their fault diagnosis remains challenging due to severe inter-cylinder vibration crosstalk, operating-condition variability, and limited labeled samples. To address these issues, this paper proposes an integrated vibration-based diagnostic framework, termed VICA-DA-ViT. First, a VMD\u2013FastICA-based blind source separation strategy is used to suppress inter-cylinder crosstalk and extract more discriminative vibration components from mixed signals. Then, angular-domain resampling and normalization are applied to reduce speed-induced non-stationarity and improve cycle consistency. The processed one-dimensional signals are further converted into two-dimensional GAF\u2013RP representations, where GAF captures global temporal correlations and RP provides complementary recurrence information. Finally, a ViT-based domain-adaptive diagnostic framework is constructed for unsupervised cross-condition diagnosis by integrating domain-adversarial pretraining, weighted bidirectional sample pairing, and Gaussian-mixture-based confidence filtering around a standard Vision Transformer backbone. Rather than modifying the internal architecture of ViT, the proposed framework improves cross-condition generalization by combining signal decoupling, angular-domain alignment, and domain-adaptation strategies for high-pressure quintuplex pump fault diagnosis. Experiments on a quintuplex pump dataset under multiple operating conditions show that the proposed framework achieves an average cross-condition accuracy of 87.42%, outperforming CD-Trans by 11.94%. These results demonstrate that VICA-DA-ViT can effectively improve the robustness of small-sample cross-condition fault diagnosis for high-pressure quintuplex pumps.<\/jats:p>","DOI":"10.3390\/s26154917","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T08:02:19Z","timestamp":1785830539000},"page":"4917","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Vibration Signal Processing and Fault Diagnosis Algorithms for High-Pressure Quintuplex Pumps"],"prefix":"10.3390","volume":"26","author":[{"given":"Zewei","family":"Liu","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Sichuan University, Chengdu 610065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanchen","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Sichuan University, Chengdu 610065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhigang","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Sichuan University, Chengdu 610065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Sichuan University, Chengdu 610065, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,8,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Wu, Q., Tang, S., Khoo, B.C., and Chang, Z. 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