Klanderman et al., 2020 - Google Patents
Case studies in real-time fault isolation in a decentralized wastewater treatment facilityKlanderman et al., 2020
View PDF- Document ID
- 6232611366016649537
- Author
- Klanderman M
- Newhart K
- Cath T
- Hering A
- Publication year
- Publication venue
- Journal of Water Process Engineering
External Links
Snippet
Decentralized wastewater treatment (WWT) can be an energy and resource efficient alternative to the traditional, centralized WWT paradigm for water-stressed communities. However, to operate economically, decentralized facilities do not typically have a WWT …
- 238000004065 wastewater treatment 0 title abstract description 59
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Haimi et al. | Data-derived soft-sensors for biological wastewater treatment plants: An overview | |
| Farhi et al. | Prediction of wastewater treatment quality using LSTM neural network | |
| de Canete et al. | Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network | |
| JP5793299B2 (en) | Process monitoring and diagnosis device | |
| Olsson et al. | Instrumentation, control and automation in wastewater–from London 1973 to Narbonne 2013 | |
| Punal et al. | An expert system for monitoring and diagnosis of anaerobic wastewater treatment plants | |
| Klanderman et al. | Case studies in real-time fault isolation in a decentralized wastewater treatment facility | |
| Carrasco et al. | Diagnosis of acidification states in an anaerobic wastewater treatment plant using a fuzzy-based expert system | |
| Schneider et al. | Beyond signal quality: The value of unmaintained pH, dissolved oxygen, and oxidation-reduction potential sensors for remote performance monitoring of on-site sequencing batch reactors | |
| Haimi et al. | Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant | |
| Punal et al. | Advanced monitoring and control of anaerobic wastewater treatment plants: diagnosis and supervision by a fuzzy-based expert system | |
| Fragkoulis et al. | Detection, isolation and identification of multiple actuator and sensor faults in nonlinear dynamic systems: Application to a waste water treatment process | |
| Duarte et al. | A review of computational modeling in wastewater treatment processes | |
| Zamarreno et al. | State-space neural network for modelling, prediction and control | |
| Yu et al. | Activated sludge process faults diagnosis based on an improved particle filter algorithm | |
| Ba-Alawi et al. | Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving | |
| Nawaz et al. | Intelligent human–machine interface: An agile operation and decision support for an ANAMMOX SBR system at a pilot-scale wastewater treatment plant | |
| Han et al. | An intelligent detecting system for permeability prediction of MBR | |
| Heo et al. | Digitally-transformed early-warning protocol for membrane cleaning based on a fouling-cumulative sum chart: Application to a full-scale MBR plant | |
| TWI813437B (en) | Water treatment control system and control method of water treatment device | |
| Newhart et al. | A holistic evaluation of multivariate statistical process monitoring in a biological and membrane treatment system | |
| Han et al. | Dynamic–static model for monitoring wastewater treatment processes | |
| Zhu et al. | Assessment of a soft sensor approach for determining influent conditions at the MWRDGC Calumet WRP | |
| Pimentel et al. | Experimental validation of a simple dynamic model of a laboratory scale recirculating aquaculture system fitted with a submerged membrane bioreactor | |
| Comas Matas | Development, implementation and evaluation of an activated sludge supervisory system for the granollers WWTP |