This work proposes a new model-based fault diagnosis method that improves the integration of the ... more This work proposes a new model-based fault diagnosis method that improves the integration of the fault detection and isolation tasks. A new interface between fault detection and fault isolation is presented that contains information about the degree of fault signal activation and the occurrence time of fault signals. A combination of five fault signature matrices is used for the fault isolation process. The matrices store knowledge about faulty system behavior: boolean fault signal occurrence, signs of residual violation, sensitivities, time of fault signal activation and fault signal occurrence order. Finally, the new method is applied to the well-known two-tanks benchmark problem.
Revista Iberoamericana De Automatica E Informatica Industrial, 2010
Los procesos industriales gobernados mediante controladores automaticos pueden presentar fallos. ... more Los procesos industriales gobernados mediante controladores automaticos pueden presentar fallos. Una forma de aumentar su habilidad consiste en dotarlos de mecanismos de tolerancia frente a los mismos. El diseno de sistemas de control tolerante a fallos es una area emergente en control automatico que aglutina diversas disciplinas y areas teoricas que tienen como objetivo alcanzar esta nueva funcionalidad. La tolerancia a fallos se puede obtener mediante el diagnostico en tiempo real de los mismos, y mediante el envio de una senal de tipo evento discreto a un sistema supervisor una vez el fallo ha sido detectado, aislado y estimada su magnitud. A su vez el sistema supervisor activara los mecanismos de acomodacion/recon?guracion para continuar, si es posible, controlando el sistema en fallo. En este articulo se presentan los mecanismos de tolerancia que se pueden activar una vez se ha diagnosticado el fallo asi como una arquitectura del sistema supervisor necesario para su implementac...
Presentado al IV Congreso Nacional de Pilas de Combustible celebrado en Sevilla del 16 al 18 de j... more Presentado al IV Congreso Nacional de Pilas de Combustible celebrado en Sevilla del 16 al 18 de junio de 2010.
This chapter deals with forecasting of hourly water demand data of different sectors of a WTN usi... more This chapter deals with forecasting of hourly water demand data of different sectors of a WTN using the data obtained by their flowmeters. Several methods to forecast the hourly water demand are studied and compared with the aim of being applied for the operational control of any water transport network. The short-term forecast of the intraday series has a main feature: the double periodicity (daily and hourly). To address this issue, several extensions of the classical time series forecasting methods are proposed: seasonal ARIMA, structural models and the exponential methods without external information. This chapter focuses on the daily and hourly forecasts applied to the Barcelona transport water network. In the hourly forecast, the exponential smoothing method is the most accurate. On the other hand, the seasonal ARIMA and the exponential smoothing are similar in the daily timescale.
Water Utilities (WU) are responsible for supplying water for residential, commercial and industri... more Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.
Abstract The problem of fault diagnosis is concerned with detecting abnormal behaviour of process... more Abstract The problem of fault diagnosis is concerned with detecting abnormal behaviour of process and attributing the behaviour to one or more root causes. This problem is known as fault detection and isolation. In this paper, a methodology known as Diagnostic Model Processor (DMP) is proposed. This approach uses a vector of model equations. Associated with each model equation is a tolerance, which mark: the threshold of “normal” operation. The methodology to select this tolerance is not provided for DMP, so it must be determined using trial and error. The paper suggests envelope generation to derive this tolerance. The problem of envelope generation is a classical problem. But none of the existent approaches can assure that produce the exact system envelopes without increasing the overall uncertainty. A new approach based on optimization for envelope generation is presented. This new algorithm works recursively with the sliding window principle being suitable to operate in real time. So, a new fault detection and isolation approach based on the integration of the fault detection algorithm known as Envelope Generation with a classical model-based fault diagnosis algorithm known as DMP (“Diagnostic Model Processor”) is proposed in this paper
Buildings represent a significant portion of global energy consumption. Ventilation units are com... more Buildings represent a significant portion of global energy consumption. Ventilation units are complex components, often customized for the specific building, responsible for a large part of energy consumption. Their faults impact buildings’ energy efficiency and occupancy comfort. In order to ensure their correct operation, proper fault detection and diagnostics methods must be applied. Hardware redundancy, an effective approach to detect faults, leads to increased costs and space requirements. We propose exploiting physical relations inside ventilation units to create virtual sensors from other sensors’ readings, introducing redundancy in the system. We use two different measures to detect when a virtual sensor deviates from the physical one: coefficient of determination for linear models, and acceptable range. We tested our method on a real building at the University of Southern Denmark, developing three virtual sensors: temperature, airflow, and fan speed. We employed linear regr...
IEE Colloquium on `Qualitative and Quantitative Modelling Methods for Fault Diagnosis'
... Morgan Kaufmanra, San Mateo, CA, 3-24. SuUss, P. & Hamscher, W. 'What&#x... more ... Morgan Kaufmanra, San Mateo, CA, 3-24. SuUss, P. & Hamscher, W. 'What's in SD? Towardrs A Theory Of Modelling for Diagnosis'. Morgan Kaufmann, San Mateo, CA, 3-34. Milne, R. et. al. 'TIGER: Real Time Situation Assessment Of Dynamic Systems'. ...
This work proposes a new model-based fault diagnosis method that improves the integration of the ... more This work proposes a new model-based fault diagnosis method that improves the integration of the fault detection and isolation tasks. A new interface between fault detection and fault isolation is presented that contains information about the degree of fault signal activation and the occurrence time of fault signals. A combination of five fault signature matrices is used for the fault isolation process. The matrices store knowledge about faulty system behavior: boolean fault signal occurrence, signs of residual violation, sensitivities, time of fault signal activation and fault signal occurrence order. Finally, the new method is applied to the well-known two-tanks benchmark problem.
Revista Iberoamericana De Automatica E Informatica Industrial, 2010
Los procesos industriales gobernados mediante controladores automaticos pueden presentar fallos. ... more Los procesos industriales gobernados mediante controladores automaticos pueden presentar fallos. Una forma de aumentar su habilidad consiste en dotarlos de mecanismos de tolerancia frente a los mismos. El diseno de sistemas de control tolerante a fallos es una area emergente en control automatico que aglutina diversas disciplinas y areas teoricas que tienen como objetivo alcanzar esta nueva funcionalidad. La tolerancia a fallos se puede obtener mediante el diagnostico en tiempo real de los mismos, y mediante el envio de una senal de tipo evento discreto a un sistema supervisor una vez el fallo ha sido detectado, aislado y estimada su magnitud. A su vez el sistema supervisor activara los mecanismos de acomodacion/recon?guracion para continuar, si es posible, controlando el sistema en fallo. En este articulo se presentan los mecanismos de tolerancia que se pueden activar una vez se ha diagnosticado el fallo asi como una arquitectura del sistema supervisor necesario para su implementac...
Presentado al IV Congreso Nacional de Pilas de Combustible celebrado en Sevilla del 16 al 18 de j... more Presentado al IV Congreso Nacional de Pilas de Combustible celebrado en Sevilla del 16 al 18 de junio de 2010.
This chapter deals with forecasting of hourly water demand data of different sectors of a WTN usi... more This chapter deals with forecasting of hourly water demand data of different sectors of a WTN using the data obtained by their flowmeters. Several methods to forecast the hourly water demand are studied and compared with the aim of being applied for the operational control of any water transport network. The short-term forecast of the intraday series has a main feature: the double periodicity (daily and hourly). To address this issue, several extensions of the classical time series forecasting methods are proposed: seasonal ARIMA, structural models and the exponential methods without external information. This chapter focuses on the daily and hourly forecasts applied to the Barcelona transport water network. In the hourly forecast, the exponential smoothing method is the most accurate. On the other hand, the seasonal ARIMA and the exponential smoothing are similar in the daily timescale.
Water Utilities (WU) are responsible for supplying water for residential, commercial and industri... more Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.
Abstract The problem of fault diagnosis is concerned with detecting abnormal behaviour of process... more Abstract The problem of fault diagnosis is concerned with detecting abnormal behaviour of process and attributing the behaviour to one or more root causes. This problem is known as fault detection and isolation. In this paper, a methodology known as Diagnostic Model Processor (DMP) is proposed. This approach uses a vector of model equations. Associated with each model equation is a tolerance, which mark: the threshold of “normal” operation. The methodology to select this tolerance is not provided for DMP, so it must be determined using trial and error. The paper suggests envelope generation to derive this tolerance. The problem of envelope generation is a classical problem. But none of the existent approaches can assure that produce the exact system envelopes without increasing the overall uncertainty. A new approach based on optimization for envelope generation is presented. This new algorithm works recursively with the sliding window principle being suitable to operate in real time. So, a new fault detection and isolation approach based on the integration of the fault detection algorithm known as Envelope Generation with a classical model-based fault diagnosis algorithm known as DMP (“Diagnostic Model Processor”) is proposed in this paper
Buildings represent a significant portion of global energy consumption. Ventilation units are com... more Buildings represent a significant portion of global energy consumption. Ventilation units are complex components, often customized for the specific building, responsible for a large part of energy consumption. Their faults impact buildings’ energy efficiency and occupancy comfort. In order to ensure their correct operation, proper fault detection and diagnostics methods must be applied. Hardware redundancy, an effective approach to detect faults, leads to increased costs and space requirements. We propose exploiting physical relations inside ventilation units to create virtual sensors from other sensors’ readings, introducing redundancy in the system. We use two different measures to detect when a virtual sensor deviates from the physical one: coefficient of determination for linear models, and acceptable range. We tested our method on a real building at the University of Southern Denmark, developing three virtual sensors: temperature, airflow, and fan speed. We employed linear regr...
IEE Colloquium on `Qualitative and Quantitative Modelling Methods for Fault Diagnosis'
... Morgan Kaufmanra, San Mateo, CA, 3-24. SuUss, P. & Hamscher, W. 'What&#x... more ... Morgan Kaufmanra, San Mateo, CA, 3-24. SuUss, P. & Hamscher, W. 'What's in SD? Towardrs A Theory Of Modelling for Diagnosis'. Morgan Kaufmann, San Mateo, CA, 3-34. Milne, R. et. al. 'TIGER: Real Time Situation Assessment Of Dynamic Systems'. ...
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