03784nam 2200997z- 450 991055750660332120231214132842.0(CKB)5400000000044490(oapen)https://directory.doabooks.org/handle/20.500.12854/76611(EXLCZ)99540000000004449020202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierSensors Fault Diagnosis Trends and ApplicationsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (236 p.)3-0365-1048-6 3-0365-1049-4 Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.Technology: general issuesbicsscrolling bearingperformance degradationhybrid kernel functionkrill herd algorithmSVRacoustic-based diagnosisgear fault diagnosisattention mechanismconvolutional neural networkstacked auto-encoderweighting strategydeep learningbearing fault diagnosisintelligent leak detectionacoustic emission signalsstatistical parameterssupport vector machinewavelet denoisingShannon entropyadaptive noise reducergaussian reference signalgearbox fault diagnosisone against on multiclass support vector machinevarying rotational speedfault detection and diagnosisfaults estimationactuator and sensor faultobserver designTakagi-Sugeno fuzzy systemsautomotiveperception sensorlidarfault detectionfault isolationfault identificationfault recoveryfault diagnosisfault detection and isolation (FDIR)autonomous vehiclemodel predictive controlpath tracking controlfault detection and isolationbraking controlnonlinear systemsfault tolerant controliterative learning controlneural networkscryptographywireless sensor networksmachine learningscan-chain diagnosisartificial neural networkNARXcontrol valvedecision treesignature matrixTechnology: general issuesWitczak Piotredt1322282Witczak PiotrothBOOK9910557506603321Sensors Fault Diagnosis Trends and Applications3034754UNINA