A systematic literature review of machine learning methods applied to predictive maintenance

Carvalho, Thyago Peres; Soares, Fabrízzio; Vita, Roberto Oliveira; Francisco, Roberto da Piedade; Basto, João; Alcalá, Symone Gomes Soares

doi:10.1016/j.cie.2019.106024

“…Thus, the purpose and novelty of this paper is the focus it provides on specific topic. Carvalho et al [13] presents a structured review of new literature presented in the years after 2014 and does so in a general manner, so the reader can get a general understanding of what moves within the field. Merkt et al [4] studies various maintenance approaches and the different applications that PdM might have.…”

Section: The Field Of Prognostics and Health Managementmentioning

confidence: 99%

“…Year Focus [13] 2019 Structured PdM literature review of 30 papers and their algorithms. Applications for RF, ANN, SVM, k-means are presented.…”

Section: Referencementioning

confidence: 99%

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

Olesen

¹

,

Shaker

²

2020

Sensors

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Artificial intelligence can be useful to solve critical issue for sustainable manufacturing (e.g., optimization of energy resources, logistics, supply chain management, waste management, etc.). In this context, in smart production, there is a trend to incorporate AI into green manufacturing processes for stricter environmental policies [20]. In fact, as said in March 2019 by Hendrik Fink, head of Sustainability Services at PricewaterhouseCoopers, "If we properly incorporate artificial intelligence, we can achieve a revolution with regard to sustainability.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions

Cioffi

¹

,

Travaglioni

²

,

Piscitelli

³

et al. 2020

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…An equipment failure, and subsequent reparation, can occur into a high expense to the company. As such, there is a strong need for Predictive Maintenance (PdM) solutions [3], especially addressing the prevention of component failure, with impact in production quality and client satisfaction (among many other factors). Therefore, predictive maintenance refers to the ability to forecast failures, ensuring that important operations are not disrupted as actions can be taken to prevent them.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance

Fernandes

¹

,

Antunes

²

,

Santiago

³

et al. 2020

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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A systematic literature review of machine learning methods applied to predictive maintenance

Cited by 1,071 publications

References 86 publications

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges

Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions

Forecasting Appliances Failures: A Machine-Learning Approach to Predictive Maintenance

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