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We studied the influence of extreme pressure (EP) antiwear additive on the emission and distribution of particulate matters (PMs), since EP antiwear additive is necessary to improve the property of lubricating oil with the downsizing development of engines. We used a four-cylinder, turbocharged, and inter-cooled system with SAE15W-40 lubricant diesel engine. Pure diesel and fuel blends with varying weight percentages (0.5%, 1.0%, and 1.5%) of EP antiwear additive were used. Engine speed increased by increments of 400 from 1,200 rpm to 2,800 rpm under medium load and full load. The DMS500 was used to acquire particle data, and the Wave Book was employed to record oil and cylinder pressure. Conclusions drawn from the experiments suggest that EP antiwear additive has significant effects on PM emissions and distributions. Increments and decrements were observed on the number of accumulation mode particles and nucleation mode particles with BDAW-0.5.

Cepstrum analysis method is an important part in the area of modern signal processing subject, which has a good application in noise source identification. The paper uses cepstrum method to analyze noise and vibration signals of diesel engine, separates and extracts periodic source signals with characteristic of non-harmonic order from complex spectrum waveform, and then identifies the contribution of each component to the spectrum with characteristic of non-harmonic order by analyzing noise and vibration signals of each component. The result shows that cepstrum analysis method can extract source signal from the complex spectrum waveform effectively, thus facilitate the identification of noise and vibration sources.