Induction motors are among the most important components of modern machinery and industrial equipment. Therefore, it is necessary to develop a fault diagnosis system that detects the operating conditions of and faults in induction motors early. This paper presents an induction motor fault diagnosis system based on a CNN (convolutional neural network) model. In the proposed method, vibration signal data are obtained from the induction motor experimental environment, and these values are input into the CNN. Then, the CNN performs fault diagnosis. In this study, fault diagnosis of an induction motor is performed in three states, namely, normal, rotor fault, and bearing fault. In addition, a GUI (graphical user interface) for the proposed fault diagnosis system is presented. The experimental results confirm that the proposed method is suitable for diagnosing rotor and bearing faults of induction motors.

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Background Patients with obstructive sleep apnoea (OSA) commonly have mood symptoms such as depression and anxiety. However, the results of randomized controlled trials on the therapeutic effect of CPAP on mood symptoms have been inconsistent. The present study examined whether 3 weeks of CPAP treatment had specific therapeutic effects on mood symptoms in patients with OSA compared with placebo. Methods A double-blind, parallel, randomized controlled trial using therapeutic and placebo CPAP was performed in 71 patients newly diagnosed with OSA [apnoea-hypopnoea index (AHI) ≥10]. Mood was assessed by the Center for Epidemiologic Studies-Depression (CES-D) Scale, the Profile of Mood States (POMS) and the Brief Symptom Inventory (BSI) before and after 3 weeks of treatment. AHI was used to assess the severity of apnoea. The two groups were compared using a simple comparison of the changes within each arm and repeated measures analysis of variance. Results Fifty-six subjects completed the study: 26 in the CPAP group and 30 in the placebo group. The two groups were well matched at baseline, with no significant differences in demographic, mood and apnoea variables. Both groups had severe apnoea, and mild depression and anxiety at baseline. After 3 weeks of treatment, AHI decreased significantly in the CPAP group. The mean change in AHI was −30.7 [standard deviation (SD) 23.1] in the CPAP group and −5.8 (SD 18.3) in the placebo group (difference between groups P<0.001). However, after 3 weeks of treatment, there were no significant time by treatment effects in relation to mood, as assessed by the CES-D, POMS Depression, POMS Tension, BSI Depression or BSI Anxiety (all P>0.05). Conclusion In conclusion, 3 weeks of CPAP treatment did not show a specific therapeutic effect on mood symptoms in patients with OSA.

Objective: Patients with obstructive sleep apnea (OSA) commonly have cognitive complaints, particularly in attention, and report decreased quality of life. We examined how vigilance and sustained attention, as assessed by the Psychomotor Vigilance Task (PVT), were related to quality of life after controlling for apnea severity and depression in subjects with OSA. Subjects and Methods: Fifty-seven patients with newly diagnosed and untreated OSA had their sleep monitored with polysomnography. Quality of life was assessed by the Short Form-36 health survey questionnaire (SF-36). Mood was assessed by the Center for Epidemiologic Studies-Depression (CES-D) Scale. After sleep monitoring and psychological assessments were performed, the 10-minute PVT was administered. The main outcome variables were PVT lapse count and average response time (RT). Simple correlations and multiple linear regression were used to examine the association between PVT performance and age, body mass index, sleep variables, apnea hypopnea index, oxygen desaturation index, and CES-D. Results and Conclusion: Both the PVT lapse count and RT were significantly associated with the SF-36 physical component summary score (PCS). In multiple linear regression, PVT RT was an independent predictor of the SF-36 PCS (full model R 2 = 0.331, p = 0.003). PVT lapse was also an independent predictor of the SF-36 PCS (full model R 2 = 0.320, p = 0.004). However, neither PVT RT nor lapse was a significant independent predictor of the SF-36 mental component summary score (MCS). Only CES-D was an individual predictor of the SF-36 MCS (β = -0.676, p < 0.001). Impairments in sustained attention and vigilance may underlie the limitations in physical health-related quality of life reported by people with OSA, even after controlling for demographic variables, apnea severity, and depression. S C I E N T I F I C I N V E S T I G A T I O N SO bstructive sleep apnea (OSA) is a chronic condition characterized by repetitive upper airway obstruction during sleep, leading to apneic episodes, hypoxemia, and recurrent arousals from sleep.1 It has been estimated that 2% to 4% of middle-aged men and 1% to 2% of middle-aged women suffer from OSA, 2 and the rate is even higher in older adults. 3 OSA is associated with considerable morbidity and mortality, particularly from hypertension, cardiovascular disease, and insulin resistance.4,5 Furthermore, the excessive daytime sleepiness associated with OSA can result in an increased risk for motor vehicle crashes 6 or serious industrial accidents. 7People with OSA commonly report having a decreased quality of life (QoL). 8,9 Previous studies have reported that these patients have a significant impairments in virtually every domain of health-related QoL, with the most consistent impairments found in the domains of sleep and vitality/energy. 10 Interestingly, studies have not consistently demonstrated a linear relationship between physiologic measures of OSA severity (i.e., apnea hypopnea index [AHI] or degree of nocturnal oxygen desaturat...

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