Zheng Hu

TL;DR: In this article, a sparse representation (SR) mathematical model for sparse blade tip-timing signals is built and a multi-mode blade vibration reconstruction algorithm is proposed to solve this SR problem.

TL;DR: Electromagnetic coupling methods are suitable for through thin non-ferromagnetic metal wall power delivery and data transmission at a relatively low data rate and piezoelectric transducer-based ultrasonic systems are particularly advantageous in achieving high power transfer efficiency and high data rates.

TL;DR: A technical framework and roadmap of embedded diagnostics and prognostics (ED/EP) for complex mechanical systems is presented based on the methodology of system integration and parallel design, which includes six key elements (embedded sensors, embedded sensing design, embedded sensors placement, embedded signals transmission, ED/EP algorithms, and embedded self-power).

TL;DR: A novel reconstruction method for non-uniformly under-sampled BTT data is presented, based on the periodically non- uniform sampling theorem, which demonstrates the accuracy of the reconstructed signal depends on the sampling frequency, the blade vibration frequency,the blade vibration bandwidth, the probe static offset and the number of samples.

TL;DR: In this paper, a blade tip-timing (BTT) method using four optical-fiber sensors is presented and all-blade vibration displacements are derived in detail, so a signal reconstruction method is proposed based on the Shannon sampling theorem.