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Marine propulsion system vibration sensor heads

Bielawski P.

New Trends in Production Engineering

2018

Vol. 1, Iss. 1

729-735

Vibration symptoms are the main symptoms used for diagnosing machines. This applies mainly to vibrations of non-rotating machines. Symptoms of rotating element vibrations are used in a limited scope, while mostly used are the symptoms of radial vibrations of rotating shafts. Across industries, the use of technical vibration diagnosis varies. Marine propulsion systems are poorly equipped with diagnostic equipment of that type. One of the main reasons is lack of appropriate sensors. The study presents two solutions of sensor heads. One solution applies to a sensor head built into the free end of the crankshaft of a reciprocating machine. The shaft free end sensor allows measurement of torsional and longitudinal vibration accelerations of the free end as a function of shaft rotation. The other solution refers to a sensor head built into sealed slide bearing of a straight shaft. The slide bearing head enables measurement of the eccentricity to the journal relative to the shell. Sensor heads under consideration are particularly suitable to be built in the ship's propulsion system and integrated with the ship's maintenance system. Sensors of the ship's maintenance system equipped with these heads will allow the operator to draw conclusions concerning the wear margins of the propulsion engine and that of the tail shaft.

Zastosowanie teorii szarych systemów do modelowania i prognozowania w diagnostyce maszyn

Cempel Cz., Tabaszewski M.

Diagnostyka

2007

nr 2(42)

11-18

Praca przedstawia metodologię budowy szarego modelu pierwszego rzędu przydatnego w prognozowaniu stanu za pomocą symptomów drganiowych. Pokazano na przykładach, że szare modele mogą mieć zastosowanie w diagnostyce maszyn prostych, dla których wystarcza podejście jedno symptomowe, jak też w diagnostyce wielo uszkodzeniowej obiektów złożonych. Zastosowano tu metodę szarych systemów Deng'a z odcinkowym prognozowania tzw. ślizgającym okienkiem, zaczerpniętą z najnowszej literatury przedmiotu.

The paper presents methodology of grey system theory and the first order grey model GM(1,1), which can be applied for the machine condition forecasting using vibration symptoms, and rolling forecasting window. Basing on real data taken from vibration condition monitoring, it was shown successfully one step forecasting with the grey model applied to condition observation by one symptom only. It was shown also, that in case of multidimensional condition monitoring one can apply the same methodology to the generalized symptom of condition, obtained from singular value decomposition of symptom observation matrix.