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Existing solutions are largely confined to intermittent operation or low sampling rates, as sustained high\u2010throughput sensing imposes prohibitive power demands. In this paper, we propose a full\u2010stack self\u2010powered sensing framework that overcomes this barrier via a synergistic electromechanical\u2013circuit\u2013sensing co\u2010design. The system integrates a quasi\u2010zero\u2010stiffness (QZS) piezoelectric energy harvester (PEH) for efficient weak\u2010excitation energy harvesting, a synchronous electric charge extraction (SECE) interface for impedance\u2010decoupled energy extraction, and an energy\u2010aware sensing module for efficient high\u2010frequency operation. This integrated architecture enables sustained real\u2010time waveform acquisition at a continuous sampling rate of approximately 48 Sa\/s, achieving an unprecedented level of continuous high\u2010frequency sensing compared to existing self\u2010powered systems and far exceeding the limitations of intermittent operation. The system can operate using energy harvested from a single piezoelectric transducer, while maintaining stable performance over a frequency range of 6\u20138\u00a0Hz at a low excitation level of 0.14\u00a0g. By transforming self\u2010powered sensing from discrete, low\u2010rate measurements to continuous real\u2010time monitoring, this work establishes a new paradigm for fully energy\u2010autonomous sensing and lays the foundation for scalable, infrastructure\u2010level deployment of intelligent monitoring systems.<\/jats:p>","DOI":"10.1002\/advs.76967","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T14:31:30Z","timestamp":1785940290000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Sustained Self\u2010Powered Real\u2010Time Vibration Monitoring Through Integrated Nonlinear Harvesting and Energy\u2010Aware Wireless Sensing"],"prefix":"10.1002","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3977-9115","authenticated-orcid":false,"given":"Yizhou","family":"Li","sequence":"first","affiliation":[{"name":"Thrust of Internet of Things Hong Kong University of Science 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