Summary of literature contributions classified by their objectives and data-driven techniques applied
| Data-driven techniques | Objectives | |||||
|---|---|---|---|---|---|---|
| Fault prediction | Fault detection and diagnosis | Optimal maintenance schedule | Equipment reliability and availability | Normal behavior modeling | RUL estimation | |
| Support Vector Machine | Datong et al. (2009), Baptista et al. (2018), Langone et al. (2015) | Saravanan et al. (2010), Salahshoor et al. (2010), Kankar et al. (2011), Purarjomandlangrudi et al. (2014) | Crespo Márquez et al. (2019) | Baptista et al. (2016), Liu et al. (2019) | ||
| K-nearest neighbors | Baptista et al. (2018) | Wang (2016) | ||||
| Regression | Baptista et al. (2018), Langone et al. (2015) | Schlechtingen and Santos (2011) | ||||
| Neural Networks | Baptista et al. (2018), Kusiak and Verma (2012), Bangalore and Tjernberg (2015), Gharoun et al. (2019) | Saravanan et al. (2010), Kankar et al. (2011), Schlechtingen and Santos (2011) | Lin and Tseng (2005), Yam et al. (2001), Gerum et al. (2019) | Lin and Tseng (2005), Izquierdo et al. (2019), Yam et al. (2001) | Kusiak and Verma (2012), Crespo Márquez et al. (2019) | Mazhar et al. (2007), Wu et al. (2019), Li et al. (2013) |
| Random Forest | Baptista et al. (2018) | Gerum et al. (2019) | Crespo Márquez et al. (2019) | |||
| Instance-based learning | Létourneau et al. (1999) | |||||
| Naive Bayesian classifier | Létourneau et al. (1999) | |||||
| Decision trees | Romanowski and Nagi (2001) | Létourneau et al. (1999), Romanowski and Nagi (2001) | Romanowski and Nagi (2001) | |||
| Logical Analysis of Data | Bennane and Yacout (2012) | |||||
| Adaptive neuro-fuzzy inference | Gharoun et al. (2019) | Salahshoor et al. (2010) | ||||
| Association Rules | Antomarioni et al. (2019), This work | Cunha et al. (2006) | Crespo Márquez et al. (2019) | |||
| Case-based reasoning | Bahga and Madisetti (2011) | |||||
| Anomaly detection algorithm | Purarjomandlangrudi et al. (2014) | |||||
| Markov models | Bumblauskas et al. (2017), Gerum et al. (2019) | Kumar et al. (2019) | Sharma et al. (2018), Chen et al. (2019) | Bumblauskas et al. (2017) | Medjaher et al. (2012), Chen et al. (2019) | |
| Clustering | Langone et al. (2015) | Kumar et al. (2019) | ||||
| Bayesian Networks | Tang et al. (2019), Sattari et al. (2021) | Abbassi et al. (2016) | ||||
| Social Network Analysis | This work | Kim et al. (2019), This work | ||||
| Data-driven techniques | Objectives | |||||
|---|---|---|---|---|---|---|
| Fault prediction | Fault detection and diagnosis | Optimal maintenance schedule | Equipment reliability and availability | Normal behavior modeling | RUL estimation | |
| Support Vector Machine | ||||||
| K-nearest neighbors | ||||||
| Regression | ||||||
| Neural Networks | ||||||
| Random Forest | ||||||
| Instance-based learning | ||||||
| Naive Bayesian classifier | ||||||
| Decision trees | ||||||
| Logical Analysis of Data | ||||||
| Adaptive neuro-fuzzy inference | ||||||
| Association Rules | ||||||
| Case-based reasoning | ||||||
| Anomaly detection algorithm | ||||||
| Markov models | ||||||
| Clustering | ||||||
| Bayesian Networks | ||||||
| Social Network Analysis | ||||||
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