2019
DOI: 10.1016/j.powtec.2019.08.044
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Magnetic properties of micro-particles with different shapes and postures in the high precision particles detection

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Cited by 6 publications
(3 citation statements)
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“…In addition, two wear debris pass through the sensor detection area at the same time within a short distance. At this time, the sensing signals are mixed with each 70 Enchen et al 71 , Yin et al 72 3 Signal aliasing Li et al 73 , Li et al 74 Hong et al 75 , Wang et al 76 , Wang et al 77 other, resulting in inaccurate detection. After the signal is aliased, the number and peak value of the signal waveform will be affected, and it may be undetectable in severe cases.…”
Section: Some Notable Pointsmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, two wear debris pass through the sensor detection area at the same time within a short distance. At this time, the sensing signals are mixed with each 70 Enchen et al 71 , Yin et al 72 3 Signal aliasing Li et al 73 , Li et al 74 Hong et al 75 , Wang et al 76 , Wang et al 77 other, resulting in inaccurate detection. After the signal is aliased, the number and peak value of the signal waveform will be affected, and it may be undetectable in severe cases.…”
Section: Some Notable Pointsmentioning
confidence: 99%
“…Taking cylindrical particles as an example, Wu et al 69 found through experiments that the coil inductance increased with the increase in the ratio of the particle’s long axis to the short axis (l/d). Ran 70 considered spherical, ellipsoidal, and flake-shaped wear debris, and found that the change in magnetic energy caused by spherical particles is much smaller than that caused by elliptical and flaky particles in the case of equal volume. Later, the influence of wear debris’ posture was further studied, and found that for elliptical and flaky particles, the change in magnetic energy decreased significantly as the rotation angle increased.…”
Section: Some Notable Pointsmentioning
confidence: 99%
“…On-line detection of oil can promptly reflect potential mechanical failures and meet the needs of the intelligent and unmanned development trend of marine engineering machinery and equipment. Certainly, based on the underlying detection principles, on-line oil wear debris detection sensors, as illustrated in Figure 1 and Table 1, can be broadly categorized into two primary types: electrical and non-electrical sensors [19,20]. These sensors play a vital role in assessing the condition of machinery by identifying the presence of wear particles in oil [21,22].…”
Section: Introductionmentioning
confidence: 99%