iiRecord
Agentic AI Atlas · domains/science/scientific-discovery/failure-mode-effects-analysis
lib-process:scientific-discovery--failure-mode-effects-analysisa5c.ai
II.
LibraryProcess JSON

lib-process:scientific-discovery--failure-mode-effects-analysis

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domains/science/scientific-discovery/failure-mode-effects-analysis json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:scientific-discovery--failure-mode-effects-analysis",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "domains/science/scientific-discovery/failure-mode-effects-analysis",
    "description": "Identify potential failure modes, assess severity and likelihood - Guides practitioners through\nFMEA methodology to systematically identify potential failures, assess their risks using RPN (Risk Priority Number),\nand develop mitigation strategies.",
    "libraryPath": "library/specializations/domains/science/scientific-discovery/failure-mode-effects-analysis.js",
    "specialization": "scientific-discovery",
    "references": [
      [
        "SAE J1739 (2009). Potential Failure Mode and Effects Analysis"
      ],
      "- AIAG & VDA FMEA Handbook (2019)",
      "- Stamatis, D.H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution"
    ],
    "example": "const result = await orchestrate('domains/science/scientific-discovery/failure-mode-effects-analysis', {\n  system: { name: 'Brake System', type: 'mechanical' },\n  components: ['Master Cylinder', 'Brake Lines', 'Calipers', 'Pads'],\n  scope: 'design-fmea'\n});",
    "usesAgents": [
      "root-cause-analyzer",
      "causal-inference-engine",
      "bayesian-inference-engine"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "skill-area:deep-web-research",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "domain:scientific-discovery",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "specialization:scientific-research-methods",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:scientific-discovery--failure-mode-effects-analysis",
      "to": "specialization:scientific-discovery",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}