Saqlain Abbas

TL;DR: The results show that the proposed DHST method is more effective in processing the nonstationary signals with fast varying instantaneous frequency than the proposed TFA method.

TL;DR: In this article, a case study of structural health monitoring (SHM) systems that have been developed from research and implemented for the inspection and safety of recent aircraft structures is presented, which highlights the current challenges of SHM and promotes the concept that SHM has great potential for research in the aviation industry.

TL;DR: A new method called generalized horizontal synchrosqueezing transform (GHST) is introduced to process the transient signal and demonstrates that the GHST performs better than other traditional TFA methods, and it is qualified for the online condition monitoring of the industrial mechanical system.

TL;DR: A new instantaneous frequency estimation method is proposed for signals with heavy noise, which is based on a polynomial chirplet transform and a ridge curve extraction scheme and an iterative stepwise refinement algorithm is developed to generate a time-frequency distribution with satisfactory energy concentration.

TL;DR: A new method called the horizontal synchrosqueezing transform (HST) is introduced, which is supposed to be a reliable and accurate method for the analysis of transient signals with extensive usefulness and is implemented in both synthetic and real signals.