Fickelscherer, R.J. (2024) Artificial intelligence in process fault diagnosis : methods for plant surveillance [cd]. Hoboken, NJ: Wiley-AICh E. doi:10.1002/9781119825920.
Chicago Manual of Style 17th edition (full note)Fickelscherer, Richard J. Artificial intelligence in process fault diagnosis : methods for plant surveillance. Cd. Hoboken, NJ: Wiley-AICh E, [2024?], Hoboken, NJ: Wiley-AICh E, [2024?]. https://doi.org/10.1002/9781119825920.
American Psychological Association 7th editionFickelscherer, R. J. (ca. 2024). Artificial intelligence in process fault diagnosis : methods for plant surveillance [Cd]. Wiley-AICh E. https://doi.org/10.1002/9781119825920
Modern Language Association 9th editionFickelscherer, R. J. Artificial intelligence in process fault diagnosis : methods for plant surveillance. cd, Wiley-AICh E, 2024, https://doi.org/10.1002/9781119825920.
ISO-690 (author-date, Deutsch)FICKELSCHERER, Richard J., 2024. Artificial intelligence in process fault diagnosis : methods for plant surveillance. Hoboken, NJ: Wiley-AICh E. ISBN 9781119825920