"Non-Contact Measurement for Mechanical Fault Detection in Production Line"@en . "Tento \u010Dl\u00E1nek se zab\u00FDv\u00E1 integrac\u00ED rozpozn\u00E1vac\u00EDch technik do automatick\u00E9ho testovac\u00EDho syst\u00E9mu za \u00FA\u010Delem detekce mechanick\u00FDch z\u00E1vad v dom\u00E1c\u00EDch pra\u010Dk\u00E1ch na v\u00FDrobn\u00ED lince. Jeliko\u017E elektrick\u00FD motor je jednou z nejkriti\u010Dt\u011Bj\u0161\u00EDch sou\u010D\u00E1st\u00ED pra\u010Dky, hlavn\u00EDm \u00FAkolem je detekce z\u00E1vad v motoru za pou\u017Eit\u00ED laserov\u00E9ho vibrometru zam\u00ED\u0159en\u00E9ho na buben pra\u010Dky. V \u010Dl\u00E1nku je nejd\u0159\u00EDve diskutov\u00E1na problematika m\u011B\u0159en\u00ED sign\u00E1lu. Pot\u00E9 je aplikov\u00E1na navr\u017Een\u00E1 metoda pro potla\u010Dov\u00E1n\u00ED tzv. speckle \u0161umu. Nakonec jsou extrahov\u00E1ny v\u00FDznamn\u00E9 p\u0159\u00EDznaky\u016F a je uk\u00E1z\u00E1no n\u011Bkolik re\u00E1ln\u00FDch p\u0159\u00EDklad\u016F ilustruj\u00EDc\u00EDch pou\u017Eit\u00ED syst\u00E9mu v praxi."@cs . "297;301" . "Vass, Ji\u0159\u00ED" . "437464" . "P(GD102/03/H085), Z(MSM6840770014)" . . . . . . "Non-Contact Measurement for Mechanical Fault Detection in Production Line" . "978-1-4244-1062-0" . . "1"^^ . "3"^^ . "Non-Contact Measurement for Mechanical Fault Detection in Production Line" . "Krakow" . . . . "RIV/68407700:21230/07:03134795" . "2007-09-06+02:00"^^ . "Pa\u0159\u00ED\u017E" . "Cristalli, C." . . "5"^^ . . "IEEE Industrial Electronics Society" . "Appliance manufacturing companies more often ask for an automatic on-line inspection system to accurately monitor the characteristics of all their products. This paper deals with the integration of pattern recognition techniques into an automatic test system for data acquisition and classification, in order to detect mechanical faults of Washing Machines (WM) in the production line. In particular, as the electrical motor is one of the most critical part of the assembled system, the goal is to detect the faults related to the motor by the use of a Laser Doppler Vibrometer pointing the tub of the Washing Machine. First, data acquisition and its problems are introduced. Then, the adopted pre-processing techniques for speckle noise reduction is illustrated. Finally, feature extraction and real examples are shown to test the system."@en . "Non-Contact Measurement for Mechanical Fault Detection in Production Line"@en . . . . "21230" . "[EFE14D05873A]" . "Diagnostics; Laser Doppler Vibrometry; Quality Control; Speckle noise; Vibration Analysis"@en . "SDEMPED 07 - 6th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives" . "Bezkontaktn\u00ED m\u011B\u0159en\u00ED pro detekci mechanick\u00FDch z\u00E1vad na v\u00FDrobn\u00EDch link\u00E1ch"@cs . "Appliance manufacturing companies more often ask for an automatic on-line inspection system to accurately monitor the characteristics of all their products. This paper deals with the integration of pattern recognition techniques into an automatic test system for data acquisition and classification, in order to detect mechanical faults of Washing Machines (WM) in the production line. In particular, as the electrical motor is one of the most critical part of the assembled system, the goal is to detect the faults related to the motor by the use of a Laser Doppler Vibrometer pointing the tub of the Washing Machine. First, data acquisition and its problems are introduced. Then, the adopted pre-processing techniques for speckle noise reduction is illustrated. Finally, feature extraction and real examples are shown to test the system." . "Torcianti, B." . . . . . "RIV/68407700:21230/07:03134795!RIV08-GA0-21230___" . . . "Bezkontaktn\u00ED m\u011B\u0159en\u00ED pro detekci mechanick\u00FDch z\u00E1vad na v\u00FDrobn\u00EDch link\u00E1ch"@cs .