{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "accrualPeriodicity": "irregular",
  "bureauCode": [
    "026:00"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "Matthew Daigle",
    "hasEmail": "mailto:matthew.j.daigle@nasa.gov"
  },
  "description": "Model-based prognostics approaches rely on physics-based models that describe the behavior of systems and their components. These models must account for the several different damage processes occurring simultaneously within a component. Each of these damage and wear processes contribute to the overall component degradation. We develop a model-based prognostics methodology that consists of a joint state-parameter estimation problem, in which the state of a system along with parameters describing the damage progression are estimated, followed by a prediction problem, in which the joint state-parameter estimate is propagated forward in time to predict end of life and remaining useful life. The state-parameter estimate is computed using a particle filter, and is represented as a probability distribution, allowing the prediction of end of life and remaining useful life within a probabilistic framework that supports uncertainty management. We also develop a novel variance control algorithm that maintains an uncertainty bound around the unknown parameters to limit the amount of estimation uncertainty and, consequently, reduce prediction uncertainty. We construct a detailed physics-based model of a centrifugal pump that includes damage progression models, to which we apply our model-based prognostics algorithm. We illustrate the operation of the prognostic solution with a number of simulation-based experiments and demonstrate the performance of the approach when multiple damage mechanisms are active.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "description": "pump-prognosis.pdf",
      "downloadURL": "https://c3.nasa.gov/dashlink/static/media/publication/pump-prognosis.pdf",
      "format": "application/x-download",
      "mediaType": "application/x-download",
      "title": "pump-prognosis.pdf"
    }
  ],
  "identifier": "DASHLINK_884",
  "issued": "2014-01-07",
  "keyword": [
    "ames",
    "dashlink",
    "nasa"
  ],
  "landingPage": "https://c3.nasa.gov/dashlink/resources/884/",
  "modified": "2025-04-01",
  "programCode": [
    "026:029"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "Dashlink"
  },
  "title": "Model-based Prognostics with Concurrent Damage Progression Processes"
}