| Electric hoist is the most commonly used lifting machinery, in order to ensure the safety of property and life, its fault detection is very necessary. Electric hoist failure rate is the highest part is the gear box, electric hoist gearbox failure rate of more than60%, and the electric hoist gear box is the key transmission components of the electric hoist, the status of their work is directly related to the working condition of the entire electric hoist. Running gear box directly affect the working status of the entire machine. Therefore, which to carry out fault diagnosis and condition monitoring of electric hoist gearbox, master vibration characteristics and vibration state is a necessary condition to guarantee the normal work of the electric hoist. This paper mainly studied the electric hoist gearbox monitoring condition and fault diagnosis technology.The main contents are as follows:(1) This paper summarizes the common failure modes of various parts of the gearbox, including the failure forms of gear:failure forms of rolling bearings, shaft failure form, and carried out a detailed study of the vibration mechanism of the gearbox. By establishing the mathematical model of gear vibration, as well as discussing of the main factors affecting the gear vibration-error and mesh stiffness, and analyzing of the frequency characteristics of the gear failure. Then introduce the basic parameters of rolling bearings and vibration characteristics.(2) In order to make up for the defects of the traditional rotating machinery fault diagnosis method-using isolated information to fault diagnosis led to incomplete information which caused false break. By using vector spectrum technology, the technology is developed on the basis of homology-based information fusion technology. Also explained the theoretical basis and numerical algorithms for vector spectrum technology, and through a simple example to illustrate the practical application of the full vector spectrum technology, which to prove that the technology have more accurate, comprehensive feature on gearbox vibration signal processing.(3) Electric Hoist gear box vibration test program based on performance requirements and work environment of the electric hoist gearbox design, including how to select the relevant points in the gearbox vibration testing techniques, how to select and install sensors, how to sampling and analysis for vibration test data.(4) Using the full vector wavelet analysis technology of vector spectrum technology in gearbox fault diagnosis. First, discusses the gearbox vibration signal de-noising processing using wavelet analysis theory. Secondly, described the theoretical basis of vector wavelet analysis technology. Finally, a model electric hoist gearbox is diagnostic object, the application of wavelet de-noising processing and the full vector wavelet de-noising processing is available, and compare two methods of signal processing results which can be found in using the full vector spectrum technology would more accurate, more comprehensive and more effective extract gearbox fault signal characteristics, which confirmed the full vector spectrum technology is accurate and effective method of fault diagnosis on the gearbox detection.Integrated afore-mentioned, the full vector wavelet analysis techniques will be used to hoist fault detection, and can be verified by experiment, by this method can extract the fault detection hoist reliable and comprehensive fault information. |
