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Sörplingsdetektering i en Centrifugalpump med Vibrationer
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.).
2009 (Swedish)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Snoring Detection in a Centrifugal Pump with Vibrations (English)
Abstract [sv]

Detta examensarbete är utfört på ITT W&WW i Sundbyberg, Sverige, i samarbete med KTH, Instutitionen för Maskinkonstruktion. Arbetet har gått ut på att finna parametrar som kan användas för att detektera sörpling i en pump. Arbetet har fokuserat på att undersöka om vibrationer och ljud kan ge information om när pumpen sörplar eller ej, samt att utveckla en algoritm baserat på dessa parametrar.

När en pump pumpar en blandning av luft och vatten kallar man det att den sörplar. Detta innebär slitage på pumpen samt energiförluster, då verkningsgraden minskar betydligt. Detta är ett problem för bland annat dräneringspumpar inom gruv- och byggindustrin där permanenta installationer och externa sensorer för att undvika sörpling ofta saknas. Det saknas idag en kommersiell fullt integrerad sörplingsvakt för dräneringespumpar och att utveckla en pump med en integrerad sörplingsvakt vore därför mycket intressant.

För att kunna skapa en algoritm för sörplingsdetektering har mätningar av vibrationer samt ljud under sörpling utförts på en 2620 dräneringspump från ITT W&WW. Signalerna har sedan analyserats med hjälp av programmet Matlab från MathWorks. Fokus har legat på att finna så alllmäna parametrar som möjligt, för att kunna detektera sörpling för olika pumpar och situationer. Enligt mätningarna varierade energiinehållet i vibrationernas frekvenskomponenter mer vid sörpling än vid normala förhållanden, vilket ledde till att sörplingsdetekteringsalgoritmen baserades på detta fenomen. Denna karaktäristik för vibrationerna uppträdde genomgående för de testade situationerna.

Slutligen testades algoritmen med hjälp av simulationer med de uppmätta signalerna och visade sig fungera i extremfallen av alla de testade situationerna.

Abstract [en]

This Master Thesis work has been performed at ITT W&WW in Sundbyberg, Sweden in collaboration with KTH, Department of Machine Design. The work has been to find parameters that can be used to detect snoring in a pump. The work has focused on investigating if vibrations and sound could provide information about if the pump was snoring or not, as well as to develop an algorithm based on these parameters.

When a pump is pumping a mixture of air and water it is said to snore. This causes wear and tear on the pump as well as energy losses, since the efficiency of the pump decrease considerably. This is a problem for among others drainage pumps in the mining and construction industry where permanent installations and external sensors to avoid snoring seldom are used. Today no commercial fully integrated application for preventing snoring in drainage pumps exists and to develop a pump capable of preventing snoring would therefore be very desirable.

In order to create an algorithm for detecting snoring measurements of the vibrations and sound during snoring have been done on a 2620 drainage pump from ITT W&WW. The signals have then been analyzed with the help of the program Matlab from MathWorks. Focus has been on finding as general parameters as possible, in order to detect snoring from different pumps and situations. According to the measurements the energy contained in the frequency components of the vibrations varied more with snoring than during normal conditions, which led the snoring detection algorithm to be based on that phenomenon. This characteristic for the vibrations was seen consistently for the tested situations.

The developed algorithm was finally tested in simulations with the measured signals and was shown to work for the extreme cases of all the tested situations.

Place, publisher, year, edition, pages
2009.
Series
MMK 2009:43 MDA 351
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-99836OAI: oai:DiVA.org:kth-99836DiVA: diva2:542561
External cooperation
ITT W&WW,Henrik Myringer
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-08-02 Created: 2012-08-02 Last updated: 2012-08-02Bibliographically approved

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