Lusser's law of series system reliability
E245803
Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
All labels observed (5)
How this entity was disambiguated
This entity first appeared as the object of triple T2206355 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lusser's law of series system reliability Context triple: [Robert Lusser, hasNotableConcept, Lusser's law of series system reliability]
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A.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
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B.
Laplace law of error
The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
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C.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
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D.
Systems at Work
Systems at Work is a permanent exhibition at the National Postal Museum that explores the processes, technology, and people behind the operation of postal systems.
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E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lusser's law of series system reliability Target entity description: Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
-
A.
Foundations of a General Theory of Sequential Decision Functions
Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
-
B.
Laplace law of error
The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
-
C.
Neyman–Pearson theory of hypothesis testing
The Neyman–Pearson theory of hypothesis testing is a foundational statistical framework that formalizes how to construct and evaluate tests for competing hypotheses using concepts like Type I and Type II errors and power.
-
D.
Systems at Work
Systems at Work is a permanent exhibition at the National Postal Museum that explores the processes, technology, and people behind the operation of postal systems.
-
E.
Logical Foundations of Probability
Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical reliability model
ⓘ
reliability engineering principle ⓘ |
| appliesTo | series systems ⓘ |
| appliesWhen |
component failures are independent
ⓘ
system fails if any component fails ⓘ |
| assumes |
all components are required for system success
ⓘ
binary component states of success or failure ⓘ statistical independence of component failures ⓘ |
| describes | overall reliability of a series system ⓘ |
| doesNotAccountFor |
common-cause failures
ⓘ
repair and maintenance effects ⓘ time-dependent failure rates ⓘ |
| hasAlternativeName |
Lusser's law
ⓘ
series system reliability law ⓘ
linked to:
Lusser's law of series system reliability
|
| hasConsequence |
a single low-reliability component can dominate system unreliability
ⓘ
adding more series components reduces system reliability if component reliabilities are less than one ⓘ high system reliability requires high reliability of every series component ⓘ |
| hasFormula |
R_system = R_1 × R_2 × … × R_n
ⓘ
R_system = ∏ R_i ⓘ |
| implies | system reliability decreases as the number of series components increases ⓘ |
| isBasisFor |
series block in reliability block diagrams
ⓘ
series structure in fault tree analysis ⓘ |
| isNamedAfter | Robert Lusser ⓘ |
| isReferencedIn |
reliability engineering textbooks
ⓘ
standards and guidelines on reliability analysis ⓘ |
| isRelatedTo |
k-out-of-n system reliability models
ⓘ
parallel system reliability models ⓘ product of survival probabilities ⓘ |
| isTaughtIn |
reliability engineering courses
ⓘ
systems engineering curricula ⓘ |
| isUsedAs |
conservative estimate for series systems
ⓘ
simplified reliability approximation ⓘ |
| originatesFrom | early reliability analysis of complex technical systems ⓘ |
| relatesConcept |
component reliability
ⓘ
failure probability ⓘ system reliability ⓘ |
| statesThat | the reliability of a series system equals the product of the reliabilities of its components ⓘ |
| usedFor |
design trade-off analysis
ⓘ
estimating reliability of series configurations ⓘ preliminary reliability calculations ⓘ |
| usedIn |
dependability analysis
ⓘ
reliability engineering ⓘ safety engineering ⓘ systems engineering ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Lusser's law of series system reliability Description of subject: Lusser's law of series system reliability is a principle in reliability engineering stating that the overall reliability of a series system equals the product of the reliabilities of its individual components, causing system reliability to decrease as more components are added.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.