Maximum cyclostationarity blind deconvolution (CYCBD) can recover the periodic impulses from mixed fault signals comprised by noise and periodic impulses. In recent years, blind deconvolution has been widely used in fault diagnosis. However, it requires a preset of filter length, and inappropriate filter length may cause the inaccurate extraction of fault signal. Therefore, in order to determine filter length adaptively, a method to optimize CYCBD by using the seagull optimization algorithm (SOA) is proposed in this paper. In this method, the ratio of SNR to kurtosis is used as the objective function; firstly, SOA is used to search the optimal filter length in CYCBD by iteration, and then it uses the optimal filter length to perform CYCBD; finally, the frequency-domain waveform is determined through Fourier transformation. The method proposed is applied to the fault extraction of a simulated signal and a test vibration signal of the closed power flow gearbox test bed, and the fault frequency is successfully extracted, in addition, using maximum correlation kurtosis deconvolution (MCKD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) to compare with CYCBD-SOA, which validated availability of the proposed method.

In the era of digital manufacturing, 3D printing has great potential in the spare parts supply chain due to its characteristics of real-time response manufacturing. In order to improve the docking efficiency of the supply and demand sides in 3D printing, the development of 3D printing cloud platform has received more and more attention. However, the traditional 3D printing platform can neither meet the needs of rapid production in actual production scenes nor create a safe and efficient data sharing mode. In order to meet these challenges, this paper proposes a 3D printing platform based on blockchain. First of all, the production standard identification and coordination solutions of spare parts suppliers are established to carry on the rapid qualification certification to the supplier. Secondly, the blockchain technology on-chain off-chain storage scheme is developed to achieve efficient sharing of 3D printed digital files under the premise of full property rights protection. Third, the product traceability service is developed to ensure the safety and transparency of spare parts. Finally, the effectiveness of the blockchain 3D printing platform is confirmed through the development of the prototype system.

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